CN108337563B - Video evaluation method, apparatus, equipment and storage medium - Google Patents

Abstract

Embodiments of the present invention disclose a video evaluation method, device, equipment and storage medium. The method is applied to a terminal and includes: acquiring a face image of a viewer watching a video to be evaluated; The evaluation parameters include focused expression information and time information; the evaluation parameters are sent to the server, and the server determines the favorable rating of the to-be-evaluated video according to the dependency between the focused expression information and the time information. The technical problem that the video evaluation method of the prior art is difficult to objectively and truly reflect the quality of the video to be evaluated is solved, and the technical effect of objectively and accurately evaluating the video to be evaluated is achieved.

Description

Video evaluation method, apparatus, equipment and storage medium

technical field

Embodiments of the present invention relate to the technical field of data processing, and in particular, to a video evaluation method, apparatus, device, and storage medium.

Background technique

Existing video types include movies, TV series, live broadcasts, small videos, etc. Faced with a large number of videos, users usually decide whether to click to watch a video by referring to the network rating. Although mainstream websites now have user scoring systems, users can rate according to their own preferences, but most people do not have the habit of rating videos. In addition, the scoring forms of the existing video scoring system include: (1) weighted calculation of scores by user click evaluation; (2) weighted scoring by counting the duration of video viewing and the number of people; (3) by the degree of user attention, search frequency for weighted scoring. (4) Convert the user's text evaluation after viewing into a score.

To sum up, the video evaluation methods of the prior art can employ crowds to perform false scores, resulting in unreal scores, and it is difficult to objectively and truly reflect the technical problems of the video quality to be evaluated.

SUMMARY OF THE INVENTION

The video evaluation method, device, device and storage medium provided by the embodiments of the present invention solve the technical problem that the prior art video evaluation method is difficult to objectively and truly reflect the quality of the video to be evaluated.

In a first aspect, an embodiment of the present invention provides a video evaluation method, applied to a terminal, including:

Obtain face images of viewers watching the video to be evaluated;

Obtain evaluation parameters according to the face image, where the evaluation parameters include focused expression information and time information;

The evaluation parameters are sent to the server, and the server determines the favorable rating of the video to be evaluated according to the dependency between the focused expression information and the time information.

Further, the obtaining evaluation parameters includes:

When the evaluation type is a video grade, emotional expression information is also obtained, and the emotional expression information is combined with the focused expression information for the server to determine the video grade of the video to be evaluated.

Further, the obtaining emotional expression information includes:

Determine the video type of the video to be evaluated;

Determine the emotional expression type according to the video type;

Obtain emotional expression information according to the determined emotional expression type.

In a second aspect, an embodiment of the present invention also provides a video evaluation method, applied to the server side, including:

Obtaining evaluation parameters, where the evaluation parameters include time information and focused expression information, and are determined by the face image of the viewer watching the video to be evaluated;

The favorable rating of the video to be evaluated is determined according to the dependency relationship between the focused expression information and the time information.

Further, determining the favorable rating of the video to be evaluated according to the dependency between the focused expression information and the time information includes:

Determine the first concentration value according to the ratio of the concentration expression information and the viewing duration in the time information;

determining a second focus value according to the ratio of the viewing duration to the video duration in the time information;

The favorable rating of the video to be evaluated is determined according to the first focus value and the second focus value.

Further, determining the first concentration value according to the ratio of the concentration expression information and the viewing duration in the time information includes:

determining the first weight contribution value of the focused expression information to the favorable rating, and the second weight contribution value of the viewing duration to the favorable rating;

Determine the weighted focused facial expression information according to the focused facial expression information and the first weighted contribution value;

Determine the weighted viewing duration according to the viewing duration and the second weighted contribution value;

The first concentration value is determined according to the ratio of the weighted concentration expression information to the weighted viewing duration.

Further, determining the second focus value according to the ratio of the viewing duration to the video duration includes:

A second focus value is determined according to a ratio of the weighted viewing duration to the video duration.

Further, after determining the favorable rating of the video to be evaluated according to the dependency between the focused expression information and the time information, the method further includes:

The video level of the to-be-evaluated video is determined according to the ratio of the measure of emotional expression to the measure of focused expression in the evaluation parameters.

In a third aspect, an embodiment of the present invention further provides a server device, where the server device includes:

one or more processors;

a storage device for storing one or more programs;

When the one or more programs are executed by the one or more processors, the one or more processors implement the video evaluation method as described in the second aspect.

In a fourth aspect, an embodiment of the present invention further provides a storage medium containing computer-executable instructions, where the computer-executable instructions are used to execute the video evaluation method according to the second aspect when executed by a computer processor.

In the technical solution of the video evaluation method provided in this embodiment, the face image of the viewer watching the video to be evaluated is obtained through the terminal, and the evaluation parameter is obtained according to the face image. It is determined by the viewer watching the face image of the video to be evaluated; the evaluation parameters are then sent to the server through the terminal, and the server determines the favorable rating of the video to be evaluated according to the dependency between the focused expression information and the time information. According to the dependency between the expression information and the time information subconsciously generated when the audience watches the video to be evaluated, the favorable rating of the video to be evaluated can be determined accurately and quickly, and the problem that the existing technology is difficult to objectively and truly reflect the quality of the video to be evaluated is solved. technical problems, and achieve the technical effect of objectively and accurately evaluating the evaluation video.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings used in the description of the embodiments. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without creative effort.

1 is a flowchart of a video evaluation method provided in Embodiment 1 of the present invention;

2 is a flowchart of a video evaluation device provided in Embodiment 2 of the present invention;

3 is a flowchart of a video evaluation method provided in Embodiment 3 of the present invention;

4 is a flowchart of a method for determining a favorable rating provided by Embodiment 3 of the present invention;

5 is a flowchart of a video evaluation method provided in Embodiment 4 of the present invention;

6 is a flowchart of a video evaluation method provided in Embodiment 5 of the present invention;

7 is a structural block diagram of a video evaluation device provided in Embodiment 6 of the present invention;

FIG. 8 is a schematic structural diagram of a server device according to Embodiment 7 of the present invention.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer, the following will refer to the accompanying drawings in the embodiments of the present invention, and describe the technical solutions of the present invention clearly and completely through the implementation manner. Obviously, the described embodiments are the present invention. Some examples, but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

Example 1

FIG. 1 is a flowchart of a video evaluation method provided by Embodiment 1 of the present invention. The technical solution of this embodiment is applicable to the situation of automatically evaluating the video, especially to the situation that the terminal automatically obtains evaluation parameters. The method may be performed by the video evaluation apparatus provided in the embodiment of the present invention, and the apparatus may be implemented in software and/or hardware, and configured to be applied in a processor. The method specifically includes the following steps:

S101. Acquire a face image of a viewer watching the video to be evaluated.

The terminal is provided with a camera, and the camera collects a frame of a face image of a viewer watching the video to be evaluated at preset time intervals. The preset time in this embodiment is selected as 3s, and can be set according to the actual situation during specific use.

S102. Obtain evaluation parameters according to the face image, where the evaluation parameters include focused expression information and time information.

When evaluating a video, it usually involves the evaluation of the positive rating, which is used to reflect the audience's reception and liking of the video. When the video quality is high, the audience usually likes it more, and when the audience watches the video they like, the spirit will be more concentrated. During the viewing process, the expression of concentration will be maintained or basically maintained, and the viewing time will be longer. Therefore, in this embodiment, the focus expression information and the time information are used as evaluation parameters for evaluating the favorable rating of the video.

When the evaluation type of the video is positive, the expression parameter in the evaluation parameter can only include focused expression information, and when the evaluation type of the video also includes the video level, the expression parameter in the evaluation parameter also needs to include emotional expression information. The server determines the video level of the to-be-evaluated video according to the emotional expression information and the focused expression information. The method of obtaining emotional expression information is as follows:

Determine the video type of the video to be evaluated, then determine the emotional expression type according to the video type, and then obtain emotional expression information according to the determined emotional expression type. For example, when the video type of the video to be evaluated is comedy, it can be determined that the comedy corresponds to the happy expression, and then the happy expression information is obtained.

Common video types include comedy, horror, thriller, romance, etc. The specific video type determination method is not limited in this embodiment, and the video type can be determined by using the existing technology.

S103: Send the evaluation parameters to the server, and the server determines the favorable rating of the video to be evaluated according to the dependency between the focused expression information and the time information.

The terminal sends the obtained evaluation parameters to the server, and the server determines the favorable rating of the video to be evaluated according to the dependency between the focused expression information and the time information. The dependency relationship in this embodiment refers to a relationship in which a change of a certain parameter causes or may cause a change of another parameter. For example, the number of focused expressions and the viewing duration, with the increase of the viewer's viewing time, the number of focused expressions they show will increase, which can be seen as a dependency between the number of focused expressions and the viewing duration. Since the video duration is fixed, there is no dependency between the number of focused expressions and the video duration.

In the technical solution of the video evaluation method provided in this embodiment, the face image of the viewer watching the video to be evaluated is obtained through the terminal, and the evaluation parameter is obtained according to the face image. It is determined by the viewer watching the face image of the video to be evaluated; the evaluation parameters are then sent to the server through the terminal, and the server determines the favorable rating of the video to be evaluated according to the dependency between the focused expression information and the time information. According to the dependency between the expression information and the time information subconsciously generated when the audience watches the video to be evaluated, the favorable rating of the video to be evaluated can be determined accurately and quickly, and the problem that the existing technology is difficult to objectively and truly reflect the quality of the video to be evaluated is solved. technical problems, and achieve the technical effect of objectively and accurately evaluating the evaluation video.

Embodiment 2

FIG. 2 is a structural block diagram of a video evaluation apparatus provided by Embodiment 2 of the present invention. The apparatus is configured to execute the video evaluation method provided in any of the foregoing embodiments, and the apparatus can be optionally implemented in software or hardware, and is configured to be used in a processor. The device includes:

A face image acquisition module 11, configured to acquire the face images of viewers watching the video to be evaluated;

An evaluation parameter acquisition module 12, configured to acquire evaluation parameters according to the face image, where the evaluation parameters include focused expression information and time information;

The sending module 13 is configured to send the evaluation parameters to a server, and the server determines the favorable rating of the video to be evaluated according to the dependency relationship between the focused expression information and the time information.

In the technical solution of the video evaluation device provided in this embodiment, the face image of the viewer watching the video to be evaluated is obtained through the terminal, and the evaluation parameter is obtained according to the face image. The evaluation parameter includes time information and focus expression information, and the focus expression information is set It is determined by the viewer watching the face image of the video to be evaluated; the evaluation parameters are then sent to the server through the terminal, and the server determines the favorable rating of the video to be evaluated according to the dependency between the focused expression information and the time information. According to the dependency between the expression information and the time information subconsciously generated when the audience watches the video to be evaluated, the favorable rating of the video to be evaluated can be determined accurately and quickly, and the problem that the existing technology is difficult to objectively and truly reflect the quality of the video to be evaluated is solved. technical problems, and achieve the technical effect of objectively and accurately evaluating the evaluation video.

The video evaluation apparatus provided by the embodiment of the present invention can execute the video evaluation method provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

Embodiment 3

FIG. 3 is a flowchart of a video evaluation method provided by Embodiment 3 of the present invention. The technical solution of this embodiment is applicable to the situation of automatically evaluating the video, especially to the situation that the server automatically evaluates the video. The method may be performed by the video evaluation apparatus provided in the embodiment of the present invention, and the apparatus may be implemented in software and/or hardware, and configured to be applied in a processor. The method specifically includes the following steps:

S201. Obtain evaluation parameters, where the evaluation parameters include time information and focused expression information, and the focused expression information is determined by a face image of a viewer watching a video to be evaluated.

When evaluating a video, it usually involves the evaluation of the positive rating, which is used to reflect the audience's reception and liking of the video. When the video quality is high, the audience usually likes it more, and when the audience watches the video they like, the spirit will be more Concentrate, maintain or basically maintain a focused expression during the viewing process, and the viewing time will be longer. Therefore, in this embodiment, the focus expression information and the time information are used as evaluation parameters for evaluating the favorable rating of the video.

When the evaluation type of the video is a positive rating, the expression parameter in the evaluation parameter may only include focused expression, and when the evaluation type of the video also includes the video level, the expression parameter in the evaluation parameter also needs to include emotional expression information. The method of obtaining emotional expression information is as follows:

First determine the video type of the video to be evaluated, then determine the emotional expression type according to the video type, and then obtain emotional expression information according to the determined emotional expression type. For example, when the video type of the video to be evaluated is comedy, it may be determined that the comedy corresponds to the happy expression, and then the happy expression information is obtained.

S202. Determine the favorable rating of the video to be evaluated according to the dependency between the focused expression information and the time information.

The server obtains the evaluation parameters from the terminal, and then determines the favorable rating of the video to be evaluated according to the dependency between the focused expression information and the time information. The dependency relationship in this embodiment refers to a relationship in which a change of a certain parameter causes or may cause a change of another parameter. For example, the number of focused expressions and the viewing duration, with the increase of the viewer's viewing time, the number of focused expressions they show will increase, which can be seen as a dependency between the number of focused expressions and the viewing duration. Since the video duration is fixed, there is no dependency between the number of focused expressions and the video duration.

An optional method for determining the favorable rating is: determining the favorable rating of the video to be evaluated according to the ratio of the focused expression information and the viewing duration in the time information.

Further, the viewing time of the video can also reflect the favorable rating of the video, because the higher the video quality, the easier it is to arouse the audience's desire to watch, and the longer the viewing time of the video will be. Therefore, the evaluation of the favorable rating in this embodiment also considers the proportion of the viewing duration in the video duration. As shown in Figure 4, the method for determining the favorable rating includes:

S2021. Determine a first concentration value according to the ratio of the concentration expression information and the viewing duration in the time information.

When quantifying the focused expression information, a representation method such as number of times or time can be used, or it can be simply expressed by a measure, as long as it can indicate how many focused expressions appear. This embodiment uses "the number of occurrences" to represent.

When measuring the praise of a video by the number of appearances of focused expressions, it is necessary to consider the dependence of the number of appearances of focused expressions and the viewing time, that is, the spanning time of the occurrences of these focused expressions needs to be considered, that is, how long the audience is watching. Therefore, in this embodiment, the first concentration value is determined according to the ratio of the number of occurrences of the focused expression to the viewing duration.

S2022. Determine a second focus value according to the ratio of the viewing duration to the video duration in the time information.

S2023. Determine the favorable rating of the video to be evaluated according to the first focus value and the second focus value.

Although both the first focus value and the second focus value can reflect the favorable rating of the video to be evaluated, their contribution weights to the favorable rating may be different. In this embodiment, the first weighted contribution value and the second weighted contribution value are used to reflect the two The influence of the audience on the positive rating is as follows:

Determine the first weighted contribution value of the focused expression information to the favorable rating, and the second weighted contribution value of the viewing duration to the favorable rating; determine the weighted focused facial expression information according to the focused expression information and the first weighted contribution value; according to the viewing duration and the second weighted The contribution value determines the weighted viewing duration; the first concentration value is determined according to the ratio of the weighted attentive expression information and the weighted viewing duration. The second focus value is determined according to the ratio of the weighted viewing duration to the video duration.

The first focus value and the second focus value are used to evaluate the positive rating of the video, and the relationship between the number of focused expressions, the viewing duration and the video duration is fully considered to determine the positive rating of the video, and the focused expressions and the viewing duration are usually It is made by the audience subconsciously according to the video content, so the method for determining the praise degree described in this implementation has high accuracy, and can effectively avoid hiring navy to improve the video praise degree.

Exemplarily, obtain the video duration (T) of the video A to be evaluated, the viewing duration (UT) of each viewer, the number of times of concentration (CC), and the number of viewers (UN), assuming that the weight of the viewing duration is 0.5, and the weight of the number of concentration is 0.5 , the frame interval of the face image is 3s.

通过所有观众的专注度获取平均值，根据此平均值来得到好评结果，例如，当专注度均值为0.8时，认为该视频好评度为8分(满分10分)。The score calculation of the positive rating: the concentration (OC) of a single user is:

An average value is obtained from the attentiveness of all viewers, and a favorable result is obtained according to this average. For example, when the average attentiveness is 0.8, the video's favorable rating is considered to be 8 points (out of 10).

The technical solution of the video evaluation method provided in this embodiment is to obtain evaluation parameters, which include time information and focused expression information, and are determined by the face image of the viewer watching the video to be evaluated; according to the dependency between the focused expression information and the time information Determines the positive rating of the video to be rated. According to the dependency between the expression information and the time information subconsciously generated when the audience watches the video to be evaluated, the favorable rating of the video to be evaluated can be determined accurately and quickly, and the problem that the existing technology is difficult to objectively and truly reflect the quality of the video to be evaluated is solved. technical problems, and achieve the technical effect of objectively and accurately evaluating the evaluation video.

Embodiment 4

FIG. 5 is a flowchart of a video evaluation method provided by Embodiment 4 of the present invention. On the basis of any of the foregoing embodiments, the embodiment of the present invention adds a step of video rating evaluation after determining the favorable rating of the video to be evaluated according to the dependency between the focused expression information and the time information. Correspondingly, the method of this embodiment includes:

S301. Obtain evaluation parameters, where the evaluation parameters include time information and focused expression information, and are determined by a face image of a viewer watching a video to be evaluated.

S302. Determine the favorable rating of the video to be evaluated according to the dependency between the focused expression information and the time information.

S303: Determine the video level of the video to be evaluated according to the ratio of the measure of emotional expression and the measure of focused expression in the evaluation parameters.

The video rating is usually the rating of the video to be evaluated in the video type to which it belongs. For example, if the comedy rating is set to five, and for a comedy film, its video rating is 3, which means that the comedy rating of the comedy film is medium. It is understandable that the evaluation of a video rating is inseparable from the video type, that is, it is necessary to determine whether the video to be evaluated is a comedy, a horror film, or a thriller. Therefore, it is necessary to determine the video type before the video rating evaluation. Suppose the video to be evaluated is a comedy, and then determine the emotional expression corresponding to the video type. Since comedy corresponds to happiness, the emotional expression corresponding to the video to be evaluated is a happy expression, and then The video level of the video to be evaluated is determined according to the ratio of the number of appearances of the happy expression to the number of appearances of the focused expression.

It can be understood that, in order to improve the accuracy of the evaluation of the video level, different weights may be assigned to the number of occurrences of emotional expressions and the number of occurrences of focused expressions during the evaluation of the video level.

其中，SC为笑脸表情的出现次数，CC为专注表情的出现次数，再计算出所有用户的笑脸表情的出现次数的比例平均值，根据此平均值来判断此视频的级别，例如，达到10％，认为喜剧度为2级(最大级别5级)。Exemplarily, the smiling face ratio (SN) of a single user is calculated:

Among them, SC is the number of appearances of smiley expressions, CC is the number of appearances of focused expressions, and then calculate the average of the proportions of the times of appearances of smiley expressions of all users, and judge the level of this video according to this average, for example, it reaches 10% , the comedy degree is considered to be level 2 (the maximum level is level 5).

In this embodiment, the video level of the video to be evaluated is determined according to the ratio of the measure of emotional expression in the evaluation parameters to the measure of focused expression, which accurately represents the level of the video to be evaluated in the video type to which it belongs, and provides a useful tool for users to search for videos. A valid reference indicator.

Embodiment 5

FIG. 6 is a flowchart of a video evaluation method provided by Embodiment 5 of the present invention. The technical solution of this embodiment is applicable to the situation of automatically evaluating the video, especially to the situation that the terminal and the server are used together to automatically evaluate the video. The apparatus can be implemented in software and/or hardware, and configured to be applied in a processor. The method specifically includes the following steps:

S401. Acquire a face image of a viewer watching the video to be evaluated.

The terminal acquires the face image of the viewer watching the video to be evaluated through the camera set on the terminal.

S402. Obtain evaluation parameters according to the face image, where the evaluation parameters include focused expression information and time information.

When evaluating a video, it usually involves the evaluation of the positive rating, which is used to reflect the audience's reception and liking of the video. When the video quality is high, the audience usually likes it more, and when the audience watches the video they like, the spirit will be more Concentrate, maintain or basically maintain a focused expression during the viewing process, and the viewing time will be longer. Therefore, in this embodiment, the focus expression information and the time information are used as evaluation parameters for evaluating the favorable rating of the video.

S403. Determine the favorable rating of the video to be evaluated according to the dependency between the focused expression information and the time information.

The terminal sends the obtained evaluation parameters to the server, and the server receives the evaluation parameters sent by the terminal, and then determines the favorable rating of the video to be evaluated according to the dependency between the focused expression information and the time information. The dependency relationship in this embodiment refers to a relationship in which a change of a certain parameter causes or may cause a change of another parameter. For example, the number of focused expressions and the viewing duration, with the increase of the viewer's viewing time, the number of focused expressions they show will increase, which can be seen as a dependency between the number of focused expressions and the viewing duration. Since the video duration is fixed, there is no dependency between the number of focused expressions and the video duration.

In the technical solution of the video evaluation method provided in this embodiment, the terminal obtains the face image of the viewer watching the video to be evaluated, obtains the evaluation parameter according to the face image, and the evaluation parameter includes the focused expression information and time information, and sends the evaluation parameter to the server, The server determines the favorable rating of the video to be evaluated according to the dependency between the focused expression information and the time information. According to the dependency between the expression information and the time information subconsciously generated when the audience watches the video to be evaluated, the favorable rating of the video to be evaluated can be determined accurately and quickly, and the problem that the existing technology is difficult to objectively and truly reflect the quality of the video to be evaluated is solved. technical problems, and achieve the technical effect of objectively and accurately evaluating the evaluation video.

Embodiment 6

FIG. 7 is a structural block diagram of a video evaluation apparatus provided by Embodiment 6 of the present invention. The device is configured to execute the video evaluation method provided in any of the above embodiments, and the control device can be implemented in software or hardware, and is configured and used in a processor. The device includes:

The evaluation parameter acquisition module 21 is used for acquiring evaluation parameters, the evaluation parameters include time information and focus expression information, and are determined by the face image of the video to be evaluated by the audience watching;

The favorable rating determining module 22 is configured to determine the favorable rating of the video to be evaluated according to the dependency relationship between the focused expression information and the time information.

The technical solution of the video evaluation device provided in this embodiment is to obtain evaluation parameters, which include time information and focused expression information, and are determined by the face image of the viewer watching the video to be evaluated; according to the dependency between the focused expression information and time information Determines the positive rating of the video to be rated. According to the dependency between the expression information and the time information subconsciously generated when the audience watches the video to be evaluated, the favorable rating of the video to be evaluated can be determined accurately and quickly, and the problem that the existing technology is difficult to objectively and truly reflect the quality of the video to be evaluated is solved. technical problems, and achieve the technical effect of objectively and accurately evaluating the evaluation video.

The video evaluation apparatus provided by the embodiment of the present invention can execute the video evaluation method provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

Embodiment 7

FIG. 8 is a schematic structural diagram of a server device according to Embodiment 7 of the present invention. As shown in FIG. 8 , the server device includes a processor 101, a memory 102, an input device 103, and an output device 104; the number of processors 101 in the server device can be is one or more. In FIG. 8, a processor 101 is used as an example; the processor 101, the memory 102, the input device 103 and the output device 104 in the server device can be connected through a bus or other means, and in FIG. 8, it is connected through a bus For example.

As a computer-readable storage medium, the memory 102 can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the video evaluation method in the embodiment of the present invention (for example, the evaluation parameter acquisition module 21 and the positive evaluation module). degree determination module 22). The processor 101 executes various functional applications and data processing of the server device by running the software programs, instructions and modules stored in the memory 102, that is, to implement the above-mentioned video evaluation method.

The memory 102 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Additionally, memory 102 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some instances, memory 102 may further include memory located remotely from processor 101, which may be connected to the device through a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

The input device 103 can be used to receive input numerical or character information, and generate key signal input related to user setting and function control of the server device.

The output device 104 may include a display device such as a display screen, for example, a display screen of a user terminal.

Embodiment 8

The eighth embodiment of the present invention also provides a storage medium containing computer-executable instructions, where the computer-executable instructions are used to execute a video evaluation method when executed by a computer processor, and the method includes:

Obtaining evaluation parameters, where the evaluation parameters include time information and focused expression information, and are determined by the face image of the viewer watching the video to be evaluated;

The favorable rating of the video to be evaluated is determined according to the dependency relationship between the focused expression information and the time information.

Of course, a storage medium containing computer-executable instructions provided by the embodiments of the present invention, the computer-executable instructions are not limited to the above-mentioned method operations, and can also execute any of the video evaluation methods provided by any embodiment of the present invention. related operations.

From the above description of the embodiments, those skilled in the art can clearly understand that the present invention can be realized by software and necessary general-purpose hardware, and of course can also be realized by hardware, but in many cases the former is a better embodiment . Based on such understanding, the technical solutions of the present invention can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products can be stored in a computer-readable storage medium, such as a floppy disk of a computer , Read-Only Memory (ROM), Random Access Memory (RAM), Flash Memory (FLASH), hard disk or CD, etc., including several instructions to make a computer device (which can be a personal computer, server, or network device, etc.) to execute the video evaluation method described in each embodiment of the present invention.

It is worth noting that in the embodiments of the above video evaluation apparatus, the units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; The specific names of the functional units are only for the convenience of distinguishing from each other, and are not used to limit the protection scope of the present invention.

Note that the above are only preferred embodiments of the present invention and applied technical principles. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the present invention. The scope is determined by the scope of the appended claims.

Claims (6)

1. A video evaluation method is applied to a server side and is characterized by comprising the following steps:

obtaining evaluation parameters, wherein the evaluation parameters comprise time information and concentration expression information and are determined by watching a face image of a video to be evaluated by a viewer;

determining the good evaluation degree of the video to be evaluated according to the dependency relationship between the concentration expression information and the time information, wherein the method comprises the following steps: determining a first concentration value according to the ratio of the concentration expression information to the watching duration in the time information; determining a second concentration value according to the ratio of the watching duration to the video duration in the time information; and determining the good evaluation degree of the video to be evaluated according to the first concentration value and the second concentration value.

2. The method of claim 1, wherein determining a first concentration value based on a ratio of the concentration expression information to a viewing duration in the temporal information comprises:

determining a first weight contribution value of the concentration expression information to the goodness of appreciation and a second weight contribution value of the watching duration to the goodness of appreciation;

determining weighted concentration expression information according to the concentration expression information and the first weight contribution value;

determining a weighted viewing duration according to the viewing duration and the second weight contribution value;

and determining a first concentration value according to the ratio of the weighted concentration expression information to the weighted watching duration.

3. The method of claim 2, wherein determining a second concentration value based on the ratio of the viewing duration to the video duration comprises:

and determining a second concentration value according to the ratio of the weighted watching duration to the video duration.

4. The method according to claim 1, wherein after determining the goodness of the video to be evaluated according to the dependency relationship between the concentration expression information and the time information, the method further comprises:

and determining the video grade of the video to be evaluated according to the ratio of the measure of the emotional expression to the measure of the concentration expression in the evaluation parameters.

5. A server device, characterized in that the server device comprises:

one or more processors;

storage means for storing one or more programs;

when executed by the one or more processors, cause the one or more processors to implement the video evaluation method of any of claims 1-4.

6. A storage medium containing computer-executable instructions for performing the video evaluation method of any of claims 1-4 when executed by a computer processor.

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