CN110765283A

CN110765283A - Statistical method for multimedia industrial data

Info

Publication number: CN110765283A
Application number: CN201911004761.3A
Authority: CN
Inventors: 袁婷
Original assignee: Beijing Niantong Technology Co Ltd
Current assignee: Beijing Niantong Technology Co Ltd
Priority date: 2019-10-22
Filing date: 2019-10-22
Publication date: 2020-02-07
Anticipated expiration: 2039-10-22
Also published as: CN110765283B

Abstract

The invention discloses a statistical method of multimedia industrial data, which comprises the following steps: s101, acquiring multimedia data and new media heat data of the same theme; s102, carrying out comprehensive weighting calculation on the multimedia data and the new media heat data to obtain an IP value index of the same theme; and S103, displaying the IP value index, and simultaneously displaying the multimedia data and the new media heat data in a graph form. According to the invention, on one hand, an industry practitioner can judge the value of the theme in the market through the IP value index, so that the industry practitioner can make corresponding market measures, and the value of the industry in the market is further improved; on the other hand, an industrial practitioner can know all the industrial data of any one theme of teenagers or children in a chart form, so that great information assistance is brought to the practitioner, the practitioner is helped to know the market quotation of each theme of the teenagers or children, and the practitioner can make a correct market value assessment.

Description

Statistical method for multimedia industrial data

Technical Field

The invention belongs to the technical field of data statistics, and particularly relates to a statistical method of multimedia industrial data.

Background

The industries for teenagers or children are always a large market, and numerous practitioners such as animation manufacturers, publishing houses, audio and video platforms, literature platforms, toy manufacturers and the like are active in the market, but the industries are all relevant, for example, a famous animation movie can be derived to be relevant to audio, books, cartoons, toys and the like.

For the market, data of each industry has a great indication effect on the development of the industry, but the existing industry data statistics tools can only collect and display industry data in a one-sided mode and cannot perform comprehensive data statistics on the industry with the same main body. Such as: for an industry with the same main body, some statistical platforms only count box office statistics of animation movies, but do not count the network playing quantity of the movies; the playing amount statistics is not carried out on the animation play, or only the playing amount data statistics is carried out on the animation play, the derived industrial data of books, comics, toys and the like are only the data in the industries, and a comprehensive statistic is not carried out on all the industries with the same theme, so that the industrial personnel can not recognize the comprehensive value of a teenager or child theme in the market, and the later development of the industries is influenced.

Disclosure of Invention

In order to solve the problem that the existing industry statistical tool can only collect and display industry data in a one-sided mode, the invention aims to provide the data statistical method which can comprehensively count the data of all related industries with the same theme and help industry personnel to comprehensively know the market value of the theme.

The technical scheme adopted by the invention is as follows:

a statistical method of multimedia industry data comprises the following steps:

s101, acquiring multimedia data and new media heat data of the same theme;

s102, carrying out comprehensive weighting calculation on the multimedia data and the new media heat data to obtain an IP value index of the same theme;

and S103, displaying the IP value index, and simultaneously displaying the multimedia data and the new media heat data in a graph form.

Preferably, the multimedia data of the same theme in step S101 includes visual media data and auditory media data, and the new media heat data includes a hundred degree index, a microblog index, a number of network news, a number of WeChat chapters, a number of 360 pieces of information, and a number of hundred degrees of information.

Preferably, the visual media data comprises video playing volume data, book selling volume data and toy selling volume data, and the auditory media data comprises audio playing volume data, wherein the video playing volume data comprises playing volume data in a designated area and playing volume data outside the designated area.

The step of obtaining the IP value index of the same topic in step S102 includes the following steps:

s102a, obtaining a data original index of the same theme according to the multimedia data and the new media heat data;

s102b, carrying out standardized function processing on the original index, and obtaining the IP value index of the same theme after the processing is finished.

Optimally, setting the original index as lambda, the 360 information number as A, the network news number as B, the Baidu information number as C, the Baidu index as D, the WeChat seal number as E, the microblog index as F, the broadcast volume data in the specified area as G, the broadcast volume data outside the specified area as H, the book sales volume data as I, the toy sales volume data as J and the audio broadcast volume data as K;

before the step S102a, a difference of | A-B |, | A-C |, and | B-C | is obtained, and the magnitude of the difference is determined;

if the value of | A-B | is the smallest among | A-B |, | A-C | and | B-C |, the calculation formula of the original index is as follows:

if the value of | A-C | is the smallest among | A-B |, | A-C | and | B-C |, the calculation formula of the original index is as follows:

if the value of | B-C | is the minimum among | A-B |, | A-C | and | B-C |, the calculation formula of the original index is as follows:

preferably, the normalization function processing in step S102b is any one of min-max normalization processing, log function conversion processing, atan function conversion processing, and Z-score normalization processing.

Preferably, the multimedia data further comprises cartoon reading amount data and cartoon sales amount data.

Optimally, the reading amount of the network literary works with the same theme can be obtained while the multimedia data and the new media heat data are obtained in the step S101.

Preferably, in the step S103, the chart is in the form of one or more of a bar chart, a line chart and a pie chart.

The invention has the beneficial effects that:

(1) the invention provides a statistical method of multimedia industrial data, which comprises the steps of firstly obtaining multimedia data and new media heat data of the same theme, namely counting all industrial data of the theme, then carrying out comprehensive weighting calculation on the multimedia data and the new media heat data to obtain an IP value index of the theme, and simultaneously displaying the multimedia data and the new media heat data in a chart form.

Through the design, on one hand, an industry practitioner can judge the value of the theme in the market through the IP value index, so that the industry practitioner can make corresponding market measures, and the value of the industry in the market is further improved; on the other hand, an industrial practitioner can know all industrial data of any theme of teenagers or children in a chart form, for example, video playing volume data, book sales volume data, toy sales volume data and the like of the theme can be known according to the chart, so that great information assistance is brought to the practitioner, the practitioner is helped to know market conditions of each theme of the teenagers or children, and the practitioner can make a correct market value assessment.

Drawings

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, 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 the drawings without creative efforts.

FIG. 1 is a flow chart illustrating steps of a method for statistics of multimedia industry data according to the present invention.

Fig. 2 is a graph of attention tendency of the bear who is not shown in the invention.

Fig. 3 is a graph of sensitivity ratios of the present invention to bear's presence.

Fig. 4 is a column chart of information degree of bear presence and absence provided by the present invention.

Fig. 5 is a media activity ratio graph of the presence of a bear provided by the present invention.

Fig. 6 is a data diagram of the hundredth index of the bear emergence provided by the present invention.

FIG. 7 is a data diagram of Baidu information about the occurrence of bears according to the present invention.

Detailed Description

The invention will be further illustrated with reference to specific examples. It should be noted that the description of the embodiments is provided to help understanding of the present invention, but the present invention is not limited thereto.

However, embodiments of the invention will be understood more fully from the detailed description given below and from the accompanying drawings of various embodiments of the invention, which, however, should not be taken to limit the invention to the specific embodiments, but are for explanation and understanding only.

The term "and/or" herein is merely an association relationship describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, B exists alone, and A and B exist at the same time, and the term "/and" is used herein to describe another association object relationship, which means that two relationships may exist, for example, A/and B, may mean: a alone, and both a and B alone, and further, the character "/" in this document generally means that the former and latter associated objects are in an "or" relationship.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments of the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes," and/or "including," when used herein, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, numbers, steps, operations, elements, components, and/or groups thereof.

It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.

Furthermore, the particular features, structures, functions, or characteristics may be combined in any suitable manner in one or more embodiments. For example, a first embodiment may be combined with a second embodiment as long as the particular features, structures, functions, or characteristics associated with the two embodiments are not mutually exclusive.

Example one

As shown in fig. 1, the statistical method for multimedia industry data provided by the present embodiment includes the following steps:

s101, multimedia data and new media heat data of the same theme are obtained.

In step S101, data of all industries of any one theme of the teenager or the child is counted, that is, the data of all industries of the theme includes multimedia data and new media heat data.

In this embodiment, any theme of the teenager or the child may be an animation movie and its derived industries, such as derived animations, toys, books, audios, and the like, which all belong to the animation movie industry, and also include the number of searches of each browser, the number of news articles, the number of WeChat chapters, and the like.

Specific examples of the industry of a transformer movie include a box office brought by the release of the transformer movie itself, a network play amount, a transformer toy, a transformer book, a transformer audio play amount, and the like, which are industries belonging to the theme of transformers. Meanwhile, the number of times of searching by the transformer in each browser, the number of news articles appearing by the transformer, WeChat articles and the like are also included.

In the embodiment, the multimedia data and the new media heat data are acquired by adopting a distributed network crawling technology.

The distribution is a network crawling technology, also called a distributed network crawler technology, which is a data acquisition algorithm and is a prior art.

The distributed crawler technology can be divided into a plurality of distributed levels, and the large-scale distributed crawler is mainly divided into 3 levels: the system comprises a distributed data center, a distributed capture server and a distributed crawler program. The whole crawler system consists of a plurality of global distributed data centers, each data center is responsible for capturing internet web pages around the local area, for example, the data center in Europe captures web pages of European countries such as England, France and Germany, and the data center in Asia captures web pages of countries such as China, Japan and Korea; each data center is composed of a plurality of grabbing servers connected with a high-speed network, each server can be provided with a plurality of crawler programs, and the timeliness and comprehensiveness of residential data can be guaranteed through the multi-level distributed crawler system.

Therefore, the multimedia data and the new media heat data can be timely and comprehensively acquired through a distributed network crawling technology.

And S102, carrying out comprehensive weighting calculation on the multimedia data and the new media heat data to obtain an IP value index of the same theme.

The step S102 is to perform comprehensive weighting calculation according to the acquired multimedia data and the new media heat data to obtain the IP value index of the same theme.

In this embodiment, the IP (intellectual property) value is a standard for evaluating the market value of a teenager or children theme, and a good IP value may have the following advantages:

(1) the method has the advantages that the vermicelli size effect is brought by strong vermicelli viscosity and vermicelli UGC (User Generated Content), internet expression, namely User Generated Content) capacity and deepening emotion; (2) the overall cognitive ability of the product is strong, and various expression forms can be mutually promoted to form annular circulation; (3) branding and exclusivity make IP more susceptible to copyright protection and legal dependence; (4) the downstream performance changing capability of the IP sub-station can be continuously ensured, so that the original upstream is fed back, and the economic chain is continuously promoted.

Therefore, the IP value index is a measure of the IP value, and the higher the index is, the higher the IP value of a theme is, the higher the economic benefit is.

In step S103, the practitioner can comprehensively know the market value of a theme in the industry, that is, whether the value of the theme in the market can be developed for a long time or not and whether a high economic effect can be brought or not is determined according to the IP value index.

And the multimedia data and the new media heat data are displayed in a graphic form, so that a practitioner can know the industrial distribution condition of a theme in the industry more clearly and conveniently, and the practitioner can recognize the graphic chart according to the theme conveniently and recognize the market value of the theme in the industry.

In this embodiment, as mentioned above, the morpheme theme can be displayed by using bar chart or pie chart, i.e. the play amount ratio of the movie or animation; the sales volume of toys and books is in proportion. Therefore, practitioners can know the occupation ratio of the transformers in the market more quickly, and further obtain the market value of the transformers.

In the present embodiment, the multimedia data includes play volume data within a specified area, play volume data outside the specified area, book sales volume data, toy sales volume data, and audio play volume data. Through the design, any theme industry of teenagers or children can be included, and data of the theme can be acquired as much as possible.

In this embodiment, the video playback volume data further includes playback volume data within the designated area and playback volume data outside the designated area. The designated area is, for example, in china in this embodiment, and the area outside the designated area is any area except for china.

The Baidu index is as follows: the internet user searches the attention degree and the continuous change condition of the key words.

The algorithm used was: and scientifically analyzing and calculating the weight of the search frequency of each keyword in the hundred-degree webpage search by taking the search amount of the netizens in hundred degrees as a data basis and taking the keywords as statistical objects. The search indexes are classified into a PC search index and a mobile search index according to data sources.

In the present embodiment, the Baidu index includes a global day-average, a moving day-average, a global-to-peer ratio, a moving-to-peer ratio, and a moving-to-peer ratio of the searched keyword. Wherein the daily average value is: searching an index daily average value within a period of time; the same ratio is as follows: the rate of change at the same time as the last year; the ring ratio is: the ring ratio rate of change from the last adjacent time period (e.g., the last 7/30 days).

The microblog index comprises the attention degree, the sensitivity degree, the information degree and the media activity degree of a keyword, and simultaneously, the microblog index also comprises a chart of the four data.

The network news number is the number of news articles carried by the network and related to the keyword or the subject.

The number of WeChat chapters is the number of words on the WeChat that the keyword or the subject appears.

The 360 information count and the hundred information count are the number of searches of the keyword or the topic on the 360 browser and the hundred browser.

Through the statistics of the multimedia data and the new media heat data, the comprehensive statistics of all industrial data of any theme of teenagers or children can be completed, and a data basis is provided for the subsequent calculation of the IP value index.

s102a, obtaining the data original index of the same theme according to the multimedia data and the new media heat data.

After the multimedia data and the new media heat data of the same theme are obtained, calculation can be carried out, so that the data original index of the same theme is obtained, and data support is provided for standardized function processing.

And (4) carrying out standardized function processing on the data original index to obtain the IP value index of the same theme.

The data original index of the same theme can be calculated through the three different formulas, and finally the IP value index of the same theme can be obtained after the data original index of the same theme is processed through a standardized function.

The normalization function processing is an existing algorithm, is a statistical method and mainly comprises Min-max normalization (Min-max normalization), log function conversion, atan function conversion and z-score normalization.

Because the evaluation indexes have different properties and usually have different dimensions and orders of magnitude, when the levels of all indexes are greatly different, if the data original indexes are used for analysis, the function of the indexes with higher values in the comprehensive analysis is highlighted, and the function of the indexes with lower values is relatively weakened, so that in order to ensure the reliability of the result, the data original indexes need to be standardized to ensure the reliability of the IP value index and more truly reflect the value of the industry in the market.

Through the design, the comprehensiveness of the industrial data of any theme of teenagers or children can be further increased, the multimedia data are displayed through a graphic table, and the values of the theme of the teenagers or children in the market can be more comprehensively mastered by the professional in combination with other data in the multimedia data and new media heat data.

In this embodiment, not only can the caricature data under the same theme of the teenager or child be collected. Original cartoon data can be collected, and because some subjects only have cartoon forms, the original cartoons, namely the data of the subjects only in the cartoon forms, need to be collected in order to ensure the comprehensiveness of the data.

Data of the original cartoon can be acquired from domestic mainstream cartoon platforms through a distributed network crawling technology, wherein the platforms can be but are not limited to: ten-day cartoon, Xiaoming Taiji, membrane cartoon, station b, cartoon, monster and net cartoon. People can obtain popularity data, collection data, comment data and praise data of the original cartoon from the platforms, and the popularity of the original cartoon is judged according to the data.

Similarly, the various data of the original cartoon can be displayed in various chart forms, so that the practitioner can more intuitively see the various data of the original cartoon and further judge the popularity of the original cartoon.

By acquiring the reading amount of the online literary works with the same theme, the industrial data of teenagers or children with the same theme can be more comprehensively counted, so that the industrial data with the same theme are more comprehensive. Meanwhile, the counted reading amount of the online writing can be displayed in a chart form, so that the practitioner can be helped to perform intuitive analysis.

In this embodiment, the acquisition of the nettext data is also realized by a distributed network crawling technology, and may be, but is not limited to, acquiring from the following platforms: starting point, QQ reading, Jinjiang, Chinese network, 17K, palm reading. Meanwhile, in order to further improve the comprehensiveness of the online writing data, the monthly ticket information data, the comment information data, the collection information data and the ranking information data on each website of the online writing can be acquired besides the reading amount of the online writing.

The optimization in the scheme is as follows: because good online literary works can be also changed into cartoons and audio books, in order to further improve the comprehensiveness of various industrial data of the same theme, the cartoons and audio books changed by the online literary works can be subjected to data statistics, namely, the reading amount of the cartoons and the playing amount of the audio books are counted, and the cartoons and the audio books can also be displayed in a chart form, so that practitioners can be helped to intuitively know all industries of the theme in the market, the occupation ratio of the theme in each industry of the market is further mastered comprehensively, and the market value of the theme is reflected more comprehensively.

Preferably, in the step S103, the chart is in the form of one or more of a bar chart, a line chart and a pie chart. Through the design, more various graphic charts are used, so that the data of different industries under one theme can be seen more visually by industry personnel, and the market value can be obtained more conveniently.

In this embodiment, the animation play amount data and the animation popularity data of teenagers and children in different foreign countries can be obtained, and data support can be made for foreign animation introduction into the domestic market according to the two data.

Example two

As shown in fig. 2 to 6, the following description will be given by taking the statistical method of the multimedia industry data according to the first embodiment as an example:

by taking the current animation of bear presence as an example, the calculation process of the IP value index of bear presence is explained in detail:

firstly, acquiring domestic video playing amount data, foreign video playing amount data, book sales amount data and toy sales amount data of a bear by a distributed network crawling technology;

meanwhile, acquiring Baidu indexes, microblog indexes, network news data, WeChat number, 360-degree information number and Baidu information of bear presence;

the data in the microblog indexes of the presence of the bear are shown in figures 2-5: fig. 2 shows a trend graph of attention degree of absence of bear, fig. 3 shows a sensitivity ratio graph, fig. 4 is an information degree bar graph, and fig. 5 is a media activity ratio graph of absence of bear. And obtaining each data in the microblog indexes from the graphs.

Fig. 6 is a data diagram of hundredth index of bear appearance, in which data of global day-average, moving day-average, global-to-peer, moving-to-peer and moving-to-peer are shown.

FIG. 7 is a data diagram showing the hundreds degree information of bear. Through fig. 6 and fig. 7, the hundredth index and the hundredth information of the bear can be obtained. Similarly, other data in the new media thermal data can also be obtained according to the distributed network crawling technology.

Judging the difference value of every two of 360 information numbers of bears, the number of network news and the number of hundred-degree information, and selecting different calculation formulas of the original index in the first embodiment according to the difference value of the three information numbers to calculate;

and finally, carrying out standardized function processing on the calculated original index, and obtaining the IP value index of the bear after the processing is finished.

The invention is not limited to the above alternative embodiments, and any other various forms of products can be obtained by anyone in the light of the present invention, but any changes in shape or structure thereof, which fall within the scope of the present invention as defined in the claims, fall within the scope of the present invention.

Claims

1. A statistical method of multimedia industry data is characterized by comprising the following steps:

s101, acquiring multimedia data and new media heat data of the same theme;

2. The method of claim 1, wherein the statistical method comprises: in the step S101, the multimedia data of the same theme includes visual media data and auditory media data, and the new media heat data includes a hundred degree index, a microblog index, a network news amount, a WeChat amount, a 360-degree information amount, and a hundred-degree information amount.

3. The method of claim 2, wherein the statistical method comprises: the visual media data comprises video playing volume data, book selling volume data and toy selling volume data, and the auditory media data comprises audio playing volume data, wherein the video playing volume data comprises playing volume data in a specified area and playing volume data outside the specified area.

4. The statistical method of multimedia industry data as claimed in claim 3, wherein: the step of obtaining the IP value index of the same topic in the step S102 specifically includes the following steps:

5. The statistical method of multimedia industry data as claimed in claim 4, wherein: setting the original index as lambda, the 360 information number as A, the network news number as B, the Baidu information number as C, the Baidu index as D, the WeChat seal number as E, the microblog index as F, the playing volume data in the designated area as G, the playing volume data outside the designated area as H, the book sales volume data as I, the toy sales volume data as J and the audio playing volume data as K;

6. the statistical method of multimedia industry data as claimed in claim 4, wherein: the normalization function processing in step S102b is any one of min-max normalization processing, log function conversion processing, atan function conversion processing, and Z-score normalization processing.

7. The method of claim 1, wherein the statistical method comprises: the multimedia data also comprises cartoon reading amount data and cartoon sales amount data.

8. The method of claim 1, wherein the statistical method comprises: in step S101, the reading amount of the internet literary works with the same theme can be obtained while the multimedia data and the new media heat data are obtained.

9. The method of claim 1, wherein the statistical method comprises: in the step S103, the chart is in the form of one or more of a bar chart, a line chart and a pie chart.