CN110955792A - Searching method and device based on picture, electronic equipment and storage medium - Google Patents
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- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
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Abstract
The embodiment of the disclosure discloses a searching method, a searching device, electronic equipment and a storage medium based on pictures, wherein the method comprises the following steps: acquiring a search picture source; when the number of the search picture sources is at least two, determining the information attributes of the at least two search picture sources; and searching based on the at least two search picture sources through a search algorithm matched with the information attributes. The technical scheme of the embodiment of the disclosure realizes the purpose of carrying out different searches based on the attribute information of the search picture source.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of security and protection, in particular to a picture-based searching method and device, electronic equipment and a storage medium.
Background
At present, products in the public security industry generally have a picture searching function. During searching, a plurality of picture sources can be uploaded simultaneously for simultaneous searching, and specific searching modes comprise two modes:
the first method comprises the following steps: and fusing all uploaded picture sources, wherein the search result set is obtained by searching based on which picture source without distinguishing, but is integrally ordered according to the similarity. Therefore, the display of the comprehensive search results of a plurality of picture sources can be realized. And the second method comprises the following steps: the uploaded all picture sources are not fused, the search result sets are classified according to the picture sources, different picture sources are clicked to switch and display different search result sets, and the search result sets are sorted according to the similarity inside each search result set, so that the search of multiple picture sources can be realized.
Both of the above two search modes cannot completely meet the requirements of users in actual combat. For example, a user uploads multiple picture sources, possibly multiple picture sources containing the same person, or multiple picture sources containing different persons, respectively. If the search result set is a plurality of picture sources containing the same person, the integration of the plurality of picture sources to obtain the comprehensive search result set is desirable, but if the search result set is a plurality of picture sources containing different persons, the individual search is needed to obtain the individual search result set. In addition, when a path trajectory is generated by selecting a specific search result in a search result set, the first search method has a defect that the path trajectory cannot be displayed; the second search method has the following defects: path trajectories are displayed immediately after each search result is selected, and recalculation is required once every more or less search results are selected, which consumes significant system performance. And the path tracks corresponding to different search result sets cannot be displayed simultaneously, so that the path tracks of multiple users cannot be analyzed intuitively and vividly by the user, and the actual combat efficiency is reduced.
Disclosure of Invention
The embodiment of the disclosure provides a searching method and device based on pictures, electronic equipment and a storage medium, which achieve the purpose of performing different searches based on attribute information of a searched picture source.
In a first aspect, an embodiment of the present disclosure provides a picture-based search method, where the method includes:
acquiring a search picture source;
when the number of the search picture sources is at least two, determining the information attributes of the at least two search picture sources;
and searching based on the at least two search picture sources through a search algorithm matched with the information attributes.
Further, the information attribute includes: multiple picture one person or multiple picture multiple persons.
Further, when the number of the search picture sources is at least two, determining the information attributes of the at least two search picture sources includes:
when the number of the search picture sources is at least two, displaying a multi-picture one-person button and a multi-picture multi-person button by calling a picture layer display interface;
receiving a selected instruction of the multi-figure-one button or the multi-figure-multi button;
and determining the information attributes of the at least two search picture sources based on the selected instruction.
Further, when the number of the search picture sources is at least two, determining the information attributes of the at least two search picture sources includes:
analyzing the at least two search picture sources based on a face recognition technology;
and determining the information attributes of the at least two search picture sources according to the analysis result.
Further, the searching based on the at least two search picture sources by the search algorithm matched with the information attribute includes:
if the information attribute is multiple pictures and one person, performing feature fusion on the at least two search picture sources through a matched search algorithm, and searching based on the fused features;
and if the information attribute is multiple images and multiple persons, searching based on each searched image source through a matched searching algorithm.
Further, the method further comprises:
when a selection instruction of a target search picture source is received, correspondingly displaying a search result obtained by searching based on the target search picture source;
wherein the identification color of the target search picture source is consistent with the identification color of the search result.
Further, the method further comprises:
when a trigger instruction of a track generation button is received, respectively generating path tracks based on a currently selected search result, and displaying the path tracks;
the identification colors of the path tracks are respectively consistent with the identification colors of the corresponding search results, and the currently selected search result comprises a search result obtained by searching based on different search picture sources.
In a second aspect, an embodiment of the present disclosure further provides a picture-based search apparatus, where the apparatus includes:
the acquisition module is used for acquiring a search picture source;
the determining module is used for determining the information attributes of the at least two search picture sources when the number of the search picture sources is at least two;
and the searching module is used for searching based on the at least two search picture sources through a searching algorithm matched with the information attributes.
In a third aspect, an embodiment of the present disclosure further provides an apparatus, where the apparatus includes:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a picture-based search method as in any of the embodiments of the present disclosure.
In a fourth aspect, the embodiments of the present disclosure also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are used to execute the picture-based search method according to any one of the embodiments of the present disclosure.
According to the technical scheme of the embodiment of the disclosure, a search picture source is obtained; when the number of the search picture sources is at least two, determining the information attributes of the at least two search picture sources; and by means of a technical means of searching based on the at least two search picture sources by a search algorithm matched with the information attributes, the purpose of performing different searches based on the attribute information of the search picture sources is realized.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
Fig. 1 is a schematic flowchart of a searching method based on pictures according to a first embodiment of the disclosure;
FIG. 2 is a schematic diagram of an interface for selecting one or more users in multiple graphs according to an embodiment of the disclosure;
fig. 3 is a schematic flowchart of a searching method based on pictures according to a second embodiment of the disclosure;
fig. 4 is a schematic diagram illustrating an effect of switching and selecting a search result set obtained by searching a search image source based on multiple images and multiple people according to a second embodiment of the present disclosure;
fig. 5 is a schematic diagram illustrating a path trajectory provided in a second embodiment of the disclosure;
fig. 6 is a schematic structural diagram of a searching apparatus based on pictures according to a third embodiment of the disclosure;
fig. 7 is a schematic structural diagram of an electronic device according to a fourth embodiment of the disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
Example one
Fig. 1 is a schematic flowchart of a picture-based searching method according to a first embodiment of the present disclosure, where the method is applicable to a scene in which a public security system searches for a path trajectory of a target person based on an image of the target person and a traffic camera system. The method may be performed by a picture-based search apparatus, which may be implemented in software and/or hardware.
As shown in fig. 1, the picture-based search method provided in this embodiment includes the following steps:
The search picture source specifically refers to an image containing a target person as a search condition. For example, for a criminal suspect, the police department needs to determine the path trajectory of the criminal suspect for capturing the criminal suspect, and at this time, a currently mastered picture including the criminal suspect may be uploaded to the picture area of the search condition through the search system of the police department, and reference may be made to an interface diagram for uploading a search picture source as shown in fig. 2.
And 120, when the number of the search picture sources is at least two, determining the information attributes of the at least two search picture sources.
Wherein the information attribute comprises: one multi-map or multiple-map multiple-persons; the multi-picture-one person specifically means that the same person is contained in the multiple search picture sources, and is usually a search target, such as a criminal suspect; the multi-image multi-person means that the search target contained in each search image source is different.
Illustratively, determining the information attributes of the at least two search picture sources comprises:
when the number of the search picture sources is at least two, displaying a multi-picture one-person button and a multi-picture multi-person button by calling a picture layer display interface;
receiving a selected instruction of the multi-figure-one button or the multi-figure-multi button;
and determining the information attributes of the at least two search picture sources based on the selected instruction.
Specifically, referring to fig. 2, if the selected instruction is the selected instruction of the multi-map-one button, it is determined that the information attributes of the at least two search picture sources are multi-map-one;
and if the selected instruction is the selected instruction of the multi-image multi-person button, determining that the information attributes of the at least two search image sources are multi-image multi-persons.
Optionally, when the number of the search picture sources is at least two, determining the information attributes of the at least two search picture sources includes:
analyzing the at least two search picture sources based on a face recognition technology;
and determining the information attributes of the at least two search picture sources according to the analysis result.
And step 130, searching based on the at least two search picture sources through a search algorithm matched with the information attributes.
Specifically, the searching based on the at least two search picture sources by the search algorithm matched with the information attribute includes:
if the information attribute is multiple pictures and one person, performing feature fusion on the at least two search picture sources through a matched search algorithm, and searching based on the fused features;
and if the information attribute is multiple images and multiple persons, searching based on each searched image source through a matched searching algorithm.
According to the technical scheme of the embodiment of the disclosure, a search picture source is obtained; when the number of the search picture sources is at least two, determining the information attributes of the at least two search picture sources; and by means of a technical means of searching based on the at least two search picture sources by a search algorithm matched with the information attributes, the purpose of performing different searches based on the attribute information of the search picture sources is realized.
Example two
Fig. 3 is a flowchart illustrating a searching method based on pictures according to a second embodiment of the disclosure. On the basis of the above embodiment, the present embodiment further optimizes the scheme, specifically, adds an operation of displaying the search result and an operation of generating a corresponding path trajectory based on the selected search result.
As shown in fig. 3, the method includes:
And step 320, when the number of the search picture sources is at least two, determining the information attributes of the at least two search picture sources.
Specifically, as shown in fig. 4, an effect diagram of switching and selecting a search result set obtained by searching based on a search picture source of multiple images and multiple people is shown, where an outer contour color (i.e., an identification color) of a first search picture source 410 is blue, an outer contour color (i.e., an identification color) of a second search picture source 420 is red, and an outer contour color (i.e., an identification color) of a third search picture source 430 is purple. Search targets contained in each search image source are different persons, and separate search is carried out on the basis of each search image source to obtain different search result sets. When the first search picture source 410 is selected, a search result obtained by searching based on the first search picture source 410 is correspondingly displayed, and the outer contour color (i.e., the identification color) of the search result is consistent with the outer contour color of the first search picture source 410, so that a user can more intuitively view the search result. When the second search picture source 420 is switched and selected, a search result obtained by searching based on the second search picture source 420 is correspondingly displayed, and the outer contour color (i.e., the identification color) of the search result is consistent with the outer contour color of the second search picture source 420, so that the user can view the search result more intuitively.
Specifically, when a user selects a certain search picture source, a search result set obtained by searching based on the search picture source is displayed, the user further selects a specific search result from the search result set, after the user selects a certain search result, the system does not immediately generate a track, but triggers a track generation button after the user finishes selecting, the system calculates according to the selected search result and generates a corresponding path track on a map, and the color of the path track is consistent with the color of the outer contour of the search picture source. Thus, the purpose of saving computing resources is achieved.
When the user selects another search picture source, the existing path track on the map disappears, when the user selects a certain search result in the search result set obtained by searching based on the other search picture source, the system does not generate the path track immediately, after the user selects the search result, the system clicks a track generation button, then the system calculates according to the selected search result and generates the path track on the map, and the color of the path track is consistent with the color of the outer contour of the other search picture source. It should be noted that the system also displays the generated path tracks in other search result sets, the color of the path tracks is the same as the color of the outer contour of the corresponding search picture source, as shown in fig. 5, and simultaneously displays the path tracks of different search result sets, so that the user can conveniently conduct the next research and judgment through comparison, and the thread mining efficiency is improved.
According to the technical scheme of the embodiment of the disclosure, on the basis of the embodiment, a step of displaying the search result is added, specifically, when a selection instruction of a target search picture source is received, the search result obtained by searching based on the target search picture source is correspondingly displayed; the identification color of the target search picture source is consistent with that of the search result, so that the user can conveniently and visually check the target search picture source. Meanwhile, when a trigger instruction for generating the track button is received, the path tracks are respectively generated based on the currently selected search results, and are displayed, instead of being recalculated once every time the search result is selected, so that the calculation resources are saved, the path tracks of different result sets can be displayed at the same time, a user can conveniently perform comparative analysis, and the thread mining efficiency is improved.
EXAMPLE III
Fig. 6 is a schematic structural diagram of a picture-based search apparatus according to a third embodiment of the present disclosure, where the apparatus includes: an acquisition module 610, a determination module 620, and a search module 630.
The obtaining module 610 is configured to obtain a search picture source; a determining module 620, configured to determine information attributes of the at least two search picture sources when the number of the search picture sources is at least two; a searching module 630, configured to perform a search based on the at least two search picture sources through a search algorithm matching the information attribute.
On the basis of the above technical solution, the information attribute includes: multiple picture one person or multiple picture multiple persons.
On the basis of the above technical solutions, the determining module 620 includes:
the display unit is used for displaying a multi-picture one-person button and a multi-picture multi-person button by calling a picture layer display interface when the number of the search picture sources is at least two;
the receiving unit is used for receiving the selected instruction of the multi-figure one-person button or the multi-figure multi-person button;
and the determining unit is used for determining the information attributes of the at least two search picture sources based on the selected instruction.
On the basis of the above technical solutions, the determining module 620 includes:
the analysis unit is used for analyzing the at least two search picture sources based on a face recognition technology;
and the determining unit is used for determining the information attributes of the at least two search picture sources according to the analysis result.
On the basis of the above technical solutions, the search module 630 is specifically configured to:
if the information attribute is multiple pictures and one person, performing feature fusion on the at least two search picture sources through a matched search algorithm, and searching based on the fused features;
and if the information attribute is multiple images and multiple persons, searching based on each searched image source through a matched searching algorithm.
On the basis of the above technical solutions, the apparatus further includes: the display module is used for correspondingly displaying a search result obtained by searching based on the target search picture source when a selection instruction of the target search picture source is received; wherein the identification color of the target search picture source is consistent with the identification color of the search result.
On the basis of the above technical solutions, the apparatus further includes: the track generation module is used for respectively generating path tracks based on the currently selected search result and displaying the path tracks when a trigger instruction for generating a track button is received; the identification colors of the path tracks are respectively consistent with the identification colors of the corresponding search results, and the currently selected search result comprises a search result obtained by searching based on different search picture sources.
According to the technical scheme of the embodiment of the disclosure, a search picture source is obtained; when the number of the search picture sources is at least two, determining the information attributes of the at least two search picture sources; and by means of a technical means of searching based on the at least two search picture sources by a search algorithm matched with the information attributes, the purpose of performing different searches based on the attribute information of the search picture sources is realized.
The picture-based search device provided by the embodiment of the disclosure can execute the picture-based search method provided by any embodiment of the disclosure, and has corresponding functional modules and beneficial effects of the execution method.
It should be noted that, the units and modules included in the apparatus are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only used for distinguishing one functional unit from another, and are not used for limiting the protection scope of the embodiments of the present disclosure.
Example four
Referring now to fig. 7, a schematic diagram of an electronic device (e.g., the terminal device or the server of fig. 7) 400 suitable for implementing embodiments of the present disclosure is shown. The terminal device in the embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 7, the electronic device 400 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 401 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage device 406 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the electronic apparatus 400 are also stored. The processing device 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Generally, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 406 including, for example, magnetic tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate wirelessly or by wire with other devices to exchange data. While fig. 7 illustrates an electronic device 400 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 409, or from the storage means 406, or from the ROM 402. The computer program performs the above-described functions defined in the methods of the embodiments of the present disclosure when executed by the processing device 401.
The terminal provided by the embodiment of the present disclosure and the picture-based search method provided by the embodiment belong to the same inventive concept, and technical details that are not described in detail in the embodiment of the present disclosure may be referred to the embodiment, and the embodiment of the present disclosure have the same beneficial effects.
EXAMPLE five
The disclosed embodiments provide a computer storage medium having stored thereon a computer program that, when executed by a processor, implements the picture-based search method provided by the above-described embodiments.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText transfer protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to:
acquiring a search picture source;
when the number of the search picture sources is at least two, determining the information attributes of the at least two search picture sources;
and searching based on the at least two search picture sources through a search algorithm matched with the information attributes.
Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of a cell does not in some cases constitute a limitation on the cell itself, for example, an editable content display cell may also be described as an "editing cell".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
Claims (10)
1. A picture-based search method, comprising:
acquiring a search picture source;
when the number of the search picture sources is at least two, determining the information attributes of the at least two search picture sources;
and searching based on the at least two search picture sources through a search algorithm matched with the information attributes.
2. The method of claim 1, wherein the information attribute comprises: multiple picture one person or multiple picture multiple persons.
3. The method according to claim 2, wherein when the number of the search picture sources is at least two, determining the information attributes of the at least two search picture sources comprises:
when the number of the search picture sources is at least two, displaying a multi-picture one-person button and a multi-picture multi-person button by calling a picture layer display interface;
receiving a selected instruction of the multi-figure-one button or the multi-figure-multi button;
and determining the information attributes of the at least two search picture sources based on the selected instruction.
4. The method according to claim 2, wherein when the number of the search picture sources is at least two, determining the information attributes of the at least two search picture sources comprises:
analyzing the at least two search picture sources based on a face recognition technology;
and determining the information attributes of the at least two search picture sources according to the analysis result.
5. The method according to any of claims 2-4, wherein said searching based on said at least two search picture sources by a search algorithm matching said information attributes comprises:
if the information attribute is multiple pictures and one person, performing feature fusion on the at least two search picture sources through a matched search algorithm, and searching based on the fused features;
and if the information attribute is multiple images and multiple persons, searching based on each searched image source through a matched searching algorithm.
6. The method according to any one of claims 2-4, further comprising:
when a selection instruction of a target search picture source is received, correspondingly displaying a search result obtained by searching based on the target search picture source;
wherein the identification color of the target search picture source is consistent with the identification color of the search result.
7. The method according to any one of claims 2-4, further comprising:
when a trigger instruction of a track generation button is received, respectively generating path tracks based on a currently selected search result, and displaying the path tracks;
the identification colors of the path tracks are respectively consistent with the identification colors of the corresponding search results, and the currently selected search result comprises a search result obtained by searching based on different search picture sources.
8. An apparatus for searching based on pictures, comprising:
the acquisition module is used for acquiring a search picture source;
the determining module is used for determining the information attributes of the at least two search picture sources when the number of the search picture sources is at least two;
and the searching module is used for searching based on the at least two search picture sources through a searching algorithm matched with the information attributes.
9. An electronic device, characterized in that the electronic device comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the picture-based search method of any one of claims 1-7.
10. A storage medium containing computer-executable instructions for performing the picture-based search method of any one of claims 1-7 when executed by a computer processor.
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