CN114637484A - Method for rapidly displaying pictures and animations by low-speed extended display equipment - Google Patents
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Abstract
The invention discloses a method for quickly displaying pictures and animations by low-speed extended display equipment, which belongs to the technical field of picture and animation display and comprises the following steps: the method comprises the following steps: establishing a refreshing mode library, and establishing a clustering space according to a rating table in the refreshing mode library; step two: the method comprises the steps of obtaining a network environment score, a key accessory state score and a refreshing grade of a refreshing mode of current display equipment in real time, converting the scores into vectors to be clustered, mapping the vectors to be clustered into corresponding clustering spaces, matching the vectors to be clustered to corresponding refreshing mode grades, and determining a target mode according to the matched refreshing mode grades; step three: when detecting that the content to be displayed contains pictures and/or videos, identifying whether the refresh mode of the current display equipment is a target mode, and when the identified refresh mode is the target mode, not operating; switching the refresh mode to the target mode when the identified refresh mode is not the target mode.
Description
Technical Field
The invention belongs to the technical field of picture and animation display, and particularly relates to a method for quickly displaying pictures and animations by low-speed extended display equipment.
Background
With the improvement of living standards and the development of technological levels, the production technology of display devices has been rapidly developed, the display requirements of people on picture and animation display devices have been gradually improved, and the current low-speed extended display devices have the problems of slow refresh rate and slow display when displaying pictures and animations, which affect the viewing of users on pictures and animations.
Disclosure of Invention
In order to solve the problems existing in the above schemes, the present invention provides a method for rapidly displaying pictures and animations in a low-speed extended display device.
The purpose of the invention can be realized by the following technical scheme:
a method for quickly displaying pictures and animations by low-speed extended display equipment comprises the following steps:
the method comprises the following steps: establishing a refreshing mode library, and establishing a clustering space according to a rating table in the refreshing mode library;
step two: the method comprises the steps of obtaining a network environment score, a key accessory state score and a refreshing grade of a refreshing mode of current display equipment in real time, converting the scores into vectors to be clustered, mapping the vectors to be clustered into corresponding clustering spaces, matching the vectors to be clustered to corresponding refreshing mode grades, and determining a target mode according to the matched refreshing mode grades;
step three: when the content to be displayed is detected to contain pictures and/or videos, identifying whether the refresh mode of the current display equipment is a target mode, and when the identified refresh mode is the target mode, not operating; switching the refresh mode to the target mode when the identified refresh mode is not the target mode.
Further, after the refresh mode is switched to the target mode, the dithering Dither processing is performed on each frame of the picture and/or the video.
Further, the method for establishing the refresh mode library comprises the following steps:
acquiring the type and model of the low-speed extended display equipment, and the refresh mode, network environment and key accessory state of the corresponding type and model, scoring the acquired network environment and key accessory state to acquire a network environment score and a key accessory state score, obtaining the refreshing grade of the corresponding refreshing mode through the Internet, obtaining the running network environment and the key accessory state corresponding to each refreshing mode, and obtaining the corresponding network environment score and the key accessory state score, dividing the network environment score and the key accessory state score according to the operation requirement of the corresponding refresh mode to obtain different network environment score intervals and key accessory state score intervals, setting a grading table according to the refreshing grade of the corresponding refreshing mode, the network environment grading interval and the key accessory state grading interval, and marking a corresponding display equipment label on the grading table;
and establishing a first database, sending all the grading tables to the first database for storage, and marking the current first database as a refresh mode database.
Furthermore, the method for setting the rating table according to the refreshing grade of the corresponding refreshing mode, the network environment rating interval and the key accessory state rating interval comprises the following steps:
and acquiring all combination modes by using an enumeration method, carrying out priority ordering on different combination modes, and setting the grades of the refresh modes corresponding to different combination modes according to the priority ordering.
Further, the method for scoring the acquired network environment comprises the following steps:
acquiring network information of current network equipment, wherein the network information comprises a network identifier and signal strength; determining an attribute score S of the network equipment through the network identifier, and determining an environment score H of the network equipment through the signal strength; and calculating a network environment score WP ═ λ × (b1 × S + b2 × H) according to the obtained attribute score S and environment score H.
Furthermore, b1 and b2 are both proportional coefficients, and have a range of 0< b1<1, 0< b2<1, and b1+ b2 ═ 1, λ is a correction factor, and has a range of 0< λ ≦ 1.
Further, the method for establishing the clustering space according to the rating table in the refresh mode library comprises the following steps:
identifying combinations among the refreshing grades, the network environment scores and the key accessory state scores corresponding to different refreshing modes in the grading table, marking the combinations as grading combinations, vectorizing the grading combinations, and mapping grading combination vectors in the same grading table into the same vector space; and clustering based on a K-means algorithm to obtain a clustering space.
Further, the method for clustering based on the K-means algorithm comprises the following steps:
step SA 1: determining a k value according to different refreshing modes in a grading mode, and randomly selecting k grading combination vectors as a preset clustering center;
step SA 2: calculating Euclidean distances from the clustering objects to all preset clustering centers; dividing each clustering object to a clustering center closest to the clustering object according to a calculation result to be used as a member of the category;
step SA 3: recalculating the mean value of each category as a new clustering center of the category;
step SA 4: finishing clustering when the sum of the distances from each object to be clustered to the clustering center of the class to which the object belongs can not be reduced; otherwise, return to step SA 2;
step SA 5: and checking and adjusting the clusters according to the corresponding refreshing grades, the network environment scoring intervals and the key accessory state scoring intervals.
Compared with the prior art, the invention has the beneficial effects that: by establishing a refresh mode library, matching the current display equipment with an optimal refresh mode, and applying a corresponding refresh mode, the speed of developing pictures and videos of the current display equipment is improved, and the delay is reduced; the speed of unfolding pictures and videos is improved on the premise of not replacing expensive display equipment; through Dither processing, a smooth display effect can be achieved, the animation effect is good, and the visual effect of a certain multi-level gray image is kept.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of a second method of an embodiment of the present invention;
FIG. 2 is a flow chart of a method according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The first embodiment is as follows: as shown in fig. 2, a method for quickly displaying pictures and animations by using a low-speed extended display device includes:
the method comprises the following steps: identifying refresh modes of the display device, such as refresh modes of an EInk screen including a DU refresh mode, a GC4 refresh mode, a 2-level gray (A2) refresh mode, a GC16 refresh mode; when a user uses the terminal based on the EInk screen display, the user can select a required refresh mode, and the terminal based on the EInk screen display is refreshed by adopting a default refresh mode after being started, which is usually a GC16 refresh mode; grading the identified refreshing mode, and marking a corresponding grading label;
because the display device displays pictures or videos at different speeds in different refresh modes, for example, the EInk screen has a slow refresh speed in the GC16 refresh mode, and each frame takes about 600ms, when some pictures such as pictures or videos are displayed, due to the slow refresh speed, the display is not smooth enough, the display is slow, and especially the effect of displaying animation is very poor.
One method of grading the identified refresh mode is: and directly acquiring the refresh grade corresponding to the refresh mode through the Internet, and grading the refresh mode according to the acquired refresh grade.
Another method of grading the identified refresh mode is:
acquiring the network environment and the key accessory state of the current display equipment, grading the acquired network environment and the key accessory state to acquire a network environment grade and a key accessory state grade, obtaining the refreshing grade of the corresponding refreshing mode through the Internet, obtaining the running network environment and the key accessory state corresponding to each refreshing mode, obtaining the corresponding network environment score and the key accessory state score, dividing the network environment score and the key accessory state score according to the operation requirement of the corresponding refresh mode to obtain different network environment score intervals and key accessory state score intervals, setting a grading table according to the refreshing grade of the corresponding refreshing mode, the network environment grading interval and the key accessory state grading interval, inputting the network environment grading and the key accessory state grading of the current display equipment into the grading table, and grading the identified refreshing mode.
The key accessories refer to accessories in the display device which have certain influence on the display speed or the refresh mode of the current display device, and corresponding key accessories can be obtained from the Internet through the model of the corresponding display equipment.
The method for scoring the acquired network environment comprises the following steps:
acquiring network information of current network equipment, wherein the network information comprises a network identifier and signal strength; determining an attribute score S of the network equipment through the network identifier, and determining an environment score H of the network equipment through the signal strength; calculating a network environment score WP ═ λ × (b1 × S + b2 × H) according to the obtained attribute score S and the obtained environment score H, wherein b1 and b2 are both proportionality coefficients, and b1 and b2 are both obtained through genetic algorithm optimization; the value ranges from 0< b1<1, 0< b2<1, and b1+ b2 equals 1, λ is a correction factor, and the value ranges from 0< λ ≦ 1.
The determination of the attribute score S of the network device by the network identification and the determination of the environment score H of the network device by the signal strength can be directly obtained by the prior art.
The method for scoring the obtained state of the key part is to obtain the score of the corresponding key part through a monitoring system or other connecting equipment of the current equipment, and the method for obtaining the score of the state of the key part is common knowledge in the field, so detailed description is omitted.
The network environment scoring and the key accessory state scoring are divided according to the operation requirements of the corresponding refresh modes, namely the network environment scoring interval and the key accessory state scoring interval are divided according to the operation requirements of different refresh modes on the network environment scoring and the key accessory state scoring in the operation state, and the corresponding network environment scoring interval and the key accessory state scoring interval are divided according to the states such as the best operation state, namely the refresh mode suitable for judging the current network environment scoring and the key accessory state scoring.
The method for setting the rating table according to the refreshing grade corresponding to the refreshing mode, the network environment rating interval and the key accessory state rating interval comprises the following steps:
all the combination modes are obtained by using an enumeration method, because the number of the combination modes is small in practical situation, priority ordering can be directly carried out on different combination modes in a manual mode, and the grades of the refresh modes corresponding to different combination modes are set according to the priority ordering; in one embodiment, the grading may also be performed by building a neural network model.
Step two: identifying a grading label of the refresh mode, selecting the best refresh mode of the current display equipment according to the grading label, and marking the best refresh mode as a target mode;
step three: when the content to be displayed is detected to contain pictures and/or videos, identifying whether the refresh mode of the current display equipment is a target mode, and when the identified refresh mode is the target mode, not operating; switching the refresh mode to the target mode when the identified refresh mode is not the target mode; carrying out dithering gather processing on each frame of the picture and/or the video;
where the diter process is a technique that creates an illusion of color depth in an image using a wired palette, those colors that are not available in the palette may be replaced in an approximation of one of the currently available colors in a Dither processed image.
For example, in an EInk screen, after a picture and/or a video frame is subjected to DIther processing to obtain a 2-level gray image, particles contained in the image can be seen, and different gray levels are simulated through the density of the particles, so that the processed 2-level gray image still has a certain visual effect of a multi-level gray image.
Example two: as shown in fig. 1, a method for quickly displaying pictures and animations by using a low-speed extended display device includes:
the method comprises the following steps: establishing a refresh mode library based on the first embodiment, and establishing a clustering space according to a rating table in the refresh mode library;
the method for establishing the refresh mode library based on the first embodiment comprises the following steps:
acquiring the type and model of the low-speed extended display equipment, and the refresh mode, network environment and key accessory state of the corresponding type and model, scoring the acquired network environment and key accessory state to acquire a network environment score and a key accessory state score, obtaining the refreshing grade of the corresponding refreshing mode through the Internet, obtaining the running network environment and the key accessory state corresponding to each refreshing mode, obtaining the corresponding network environment score and the key accessory state score, dividing the network environment score and the key accessory state score according to the operation requirement of the corresponding refresh mode to obtain different network environment score intervals and key accessory state score intervals, setting a grading table according to the refreshing grade of the corresponding refreshing mode, the network environment grading interval and the key accessory state grading interval, and marking a corresponding display equipment label on the grading table;
and establishing a first database, sending all the grading tables to the first database for storage, and marking the current first database as a refresh mode database.
The method for establishing the clustering space according to the rating table in the refresh mode library comprises the following steps:
identifying combinations among the refreshing grades, the network environment scores and the key accessory state scores corresponding to different refreshing modes in the grading table, marking the combinations as grading combinations, vectorizing the grading combinations, and mapping grading combination vectors in the same grading table into the same vector space; and clustering based on a K-means algorithm to obtain a clustering space.
The method for clustering based on the K-means algorithm comprises the following steps:
step SA 1: determining a k value according to different refreshing modes in a grading mode, and randomly selecting k grading combination vectors as a preset clustering center;
step SA 2: calculating Euclidean distances from the clustering objects to all preset clustering centers; dividing each clustering object to a clustering center closest to the clustering object according to a calculation result to be used as a member of the category;
step SA 3: recalculating the mean value of each category as a new clustering center of the category;
step SA 4: finishing clustering when the sum of the distances from each object to be clustered to the clustering center of the class to which the object belongs can not be reduced; otherwise, return to step SA 2;
step SA 5: and checking and adjusting the clusters according to the corresponding refreshing grade, the network environment scoring interval and the key accessory state scoring interval.
Step two: acquiring the network environment score, the key accessory state score and the refreshing grade of a refreshing mode of the current display equipment in real time, converting the scores into vectors to be clustered, mapping the vectors to be clustered into corresponding clustering spaces, matching the corresponding refreshing mode grades, and determining a target mode according to the matched refreshing mode grades;
step three: when the content to be displayed contains pictures and/or videos, identifying whether the refresh mode of the current display equipment is a target mode, and when the identified refresh mode is the target mode, not operating; switching the refresh mode to the target mode when the identified refresh mode is not the target mode; dithering bither processing is performed on each frame of the picture and/or video.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest real situation, and the preset parameters and the preset threshold value in the formula are set by the technical personnel in the field according to the actual situation or obtained by simulating a large amount of data.
The working principle of the invention is as follows: acquiring the type and model of the low-speed extended display equipment, and the refreshing mode, network environment and key accessory state of the corresponding type and model, scoring the acquired network environment and key accessory state to acquire a network environment score and a key accessory state score, obtaining the refreshing grade of the corresponding refreshing mode through the Internet, obtaining the running network environment and the key accessory state corresponding to each refreshing mode, obtaining the corresponding network environment score and the key accessory state score, dividing the network environment score and the key accessory state score according to the operation requirement of the corresponding refresh mode to obtain different network environment score intervals and key accessory state score intervals, setting a grading table according to the refreshing grade of the corresponding refreshing mode, the network environment grading interval and the key accessory state grading interval, and marking a corresponding display equipment label on the grading table; establishing a first database, sending all the grading tables to the first database for storage, and marking the current first database as a refresh mode database; identifying combinations among the refreshing grades, the network environment scores and the key accessory state scores corresponding to different refreshing modes in the grading table, marking the combinations as grading combinations, vectorizing the grading combinations, and mapping grading combination vectors in the same grading table into the same vector space; and clustering based on a K-means algorithm to obtain a clustering space.
The method comprises the steps of obtaining a network environment score, a key accessory state score and a refreshing grade of a refreshing mode of current display equipment in real time, converting the scores into vectors to be clustered, mapping the vectors to be clustered into corresponding clustering spaces, matching the vectors to be clustered to corresponding refreshing mode grades, and determining a target mode according to the matched refreshing mode grades; when the content to be displayed contains pictures and/or videos, identifying whether the refresh mode of the current display equipment is a target mode, and when the identified refresh mode is the target mode, not operating; switching the refresh mode to the target mode when the identified refresh mode is not the target mode; the dithering gather process is performed for each frame of the picture and/or video.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (8)
1. A method for quickly displaying pictures and animations by low-speed extended display equipment is characterized by comprising the following steps:
the method comprises the following steps: establishing a refreshing mode library, and establishing a clustering space according to a rating table in the refreshing mode library;
step two: the method comprises the steps of obtaining a network environment score, a key accessory state score and a refreshing grade of a refreshing mode of current display equipment in real time, converting the scores into vectors to be clustered, mapping the vectors to be clustered into corresponding clustering spaces, matching the vectors to be clustered to corresponding refreshing mode grades, and determining a target mode according to the matched refreshing mode grades;
step three: when the content to be displayed is detected to contain pictures and/or videos, identifying whether the refresh mode of the current display equipment is a target mode, and when the identified refresh mode is the target mode, not operating; switching the refresh mode to the target mode when the identified refresh mode is not the target mode.
2. The method as claimed in claim 1, wherein after the refresh mode is switched to the target mode, the dithering Dither processing is performed for each frame of the picture and/or video.
3. The method for rapidly displaying pictures and animations according to claim 1 or 2, wherein the method for establishing the refresh mode library comprises:
acquiring the type and model of the low-speed extended display equipment, and the refresh mode, network environment and key accessory state of the corresponding type and model, scoring the acquired network environment and key accessory state to acquire a network environment score and a key accessory state score, obtaining the refreshing grade of the corresponding refreshing mode through the Internet, obtaining the running network environment and the key accessory state corresponding to each refreshing mode, obtaining the corresponding network environment score and the key accessory state score, dividing the network environment score and the key accessory state score according to the operation requirement of the corresponding refresh mode to obtain different network environment score intervals and key accessory state score intervals, setting a grading table according to the refreshing grade of the corresponding refreshing mode, the network environment grading interval and the key accessory state grading interval, and marking a corresponding display equipment label on the grading table;
and establishing a first database, sending all the grading tables to the first database for storage, and marking the current first database as a refresh mode database.
4. The method for rapidly displaying the pictures and the animations according to claim 3, wherein the method for setting the rating table according to the refresh level corresponding to the refresh mode, the network environment rating interval and the key accessory state rating interval comprises the following steps:
and acquiring all combination modes by using an enumeration method, carrying out priority ordering on different combination modes, and setting the grades of the refresh modes corresponding to different combination modes according to the priority ordering.
5. The method for rapidly displaying the pictures and the animations according to claim 1, wherein the method for scoring the acquired network environment comprises:
acquiring network information of current network equipment, wherein the network information comprises a network identifier and signal strength; determining an attribute score S of the network equipment through the network identification, and determining an environment score H of the network equipment through the signal strength; and calculating a network environment score WP ═ λ × (b1 × S + b2 × H) according to the obtained attribute score S and environment score H.
6. The method as claimed in claim 5, wherein b1 and b2 are scaling coefficients with a range of 0< b1<1, 0< b2<1, and b1+ b2 ═ 1, λ is a correction factor, and a range of 0< λ ≦ 1.
7. The method of claim 1, wherein the method for establishing the clustering space according to the rating table in the refresh mode library comprises:
identifying combinations among the refreshing grades, the network environment scores and the key accessory state scores corresponding to different refreshing modes in the grading table, marking the combinations as grading combinations, vectorizing the grading combinations, and mapping grading combination vectors in the same grading table into the same vector space; and clustering based on a K-means algorithm to obtain a clustering space.
8. The method for rapidly displaying the pictures and the animations according to claim 7, wherein the method for clustering based on the K-means algorithm comprises:
step SA 1: determining a k value according to different refreshing modes in a grading mode, and randomly selecting k grading combination vectors as a preset clustering center;
step SA 2: calculating Euclidean distances from the clustering objects to all preset clustering centers; dividing each clustering object to a clustering center closest to the clustering object according to a calculation result to be used as a member of the category;
step SA 3: recalculating the mean value of each category as a new clustering center of the category;
step SA 4: finishing clustering when the sum of the distances from each object to be clustered to the clustering center of the class to which the object belongs can not be reduced; otherwise, return to step SA 2;
step SA 5: and checking and adjusting the clusters according to the corresponding refreshing grades, the network environment scoring intervals and the key accessory state scoring intervals.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140099067A1 (en) * | 2000-10-10 | 2014-04-10 | Broadcom Corporation | System and method for personal video recording |
CN107608584A (en) * | 2017-09-07 | 2018-01-19 | 中冶南方工程技术有限公司 | A kind of method that man-machine interface picture refreshes automatically |
CN109885707A (en) * | 2019-02-01 | 2019-06-14 | 北京字节跳动网络技术有限公司 | The method for refreshing of picture, device, terminal device and storage medium in picture library |
CN112965678A (en) * | 2021-03-16 | 2021-06-15 | 广州文石信息科技有限公司 | Display, device, storage medium and method based on electronic ink screen |
CN113101669A (en) * | 2021-04-20 | 2021-07-13 | 网易(杭州)网络有限公司 | Refreshing method, refreshing device, equipment and medium for virtual object in game |
CN113377485A (en) * | 2021-07-07 | 2021-09-10 | 掌阅科技股份有限公司 | Refreshing display method of ink screen device, electronic device and storage medium |
-
2022
- 2022-03-09 CN CN202210226679.0A patent/CN114637484A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140099067A1 (en) * | 2000-10-10 | 2014-04-10 | Broadcom Corporation | System and method for personal video recording |
CN107608584A (en) * | 2017-09-07 | 2018-01-19 | 中冶南方工程技术有限公司 | A kind of method that man-machine interface picture refreshes automatically |
CN109885707A (en) * | 2019-02-01 | 2019-06-14 | 北京字节跳动网络技术有限公司 | The method for refreshing of picture, device, terminal device and storage medium in picture library |
CN112965678A (en) * | 2021-03-16 | 2021-06-15 | 广州文石信息科技有限公司 | Display, device, storage medium and method based on electronic ink screen |
CN113101669A (en) * | 2021-04-20 | 2021-07-13 | 网易(杭州)网络有限公司 | Refreshing method, refreshing device, equipment and medium for virtual object in game |
CN113377485A (en) * | 2021-07-07 | 2021-09-10 | 掌阅科技股份有限公司 | Refreshing display method of ink screen device, electronic device and storage medium |
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