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Method and system for performing curve processing on video hot degree

A video and heat technology, applied in the direction of image communication, selective content distribution, electrical components, etc., can solve the problem of not being able to truly reflect the actual video hotspots of the video, achieve a good display effect, save time and human resources.

Inactive Publication Date: 2015-09-16
LETV INFORMATION TECH BEIJING
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] In view of this, the present application provides a method and system for curve processing video popularity to solve the problem that the method of determining video hotspots cannot truly reflect the actual video hotspots in the network environment

Method used

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  • Method and system for performing curve processing on video hot degree
  • Method and system for performing curve processing on video hot degree
  • Method and system for performing curve processing on video hot degree

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0049] like figure 2 As shown, it is a method for curve processing video popularity described in Embodiment 1 of the present application. The method includes:

[0050] Step 201: Divide the video into multiple time periods with the same time interval according to the overall time displayed on the playback scroll bar, and count the cumulative value of the user's dragging behavior in each time period.

[0051] Specifically, when the user is watching a video, the player playing the video reads the image data and time data in the corresponding video file, and generates a playback scroll bar (also called a video playback progress bar), and the playback scroll bar It reflects the sequence arrangement of each frame in the video, so the overall time displayed on the playback scroll bar is the corresponding total duration of the video.

[0052] For step 201, the overall time of the playback scroll bar can be divided according to the preset division standard, such as: the specified div...

Embodiment 2

[0061] like image 3 As shown, it is a method for curve processing video popularity described in Embodiment 2 of the present application. The method includes:

[0062] Step 301: Divide the overall time of a certain video A into multiple time periods with a time interval of 30 seconds, and record the dragging behavior after the user drags the video.

[0063] The recording process can be completed by the player used by the user to watch the video. The player monitors the operations of all users watching the video. When a user drags and drops, it records the drag line and the corresponding time period, so that Generate the corresponding data and upload it to the server to complete the statistics of a dragging behavior.

[0064] After the user drags and drops, the uploaded data format is: from=20&seek=40, which means that the user’s dragging behavior is to drag the video from 20 to 40 seconds. Then, the content of the 20 seconds between Content that is not of interest to this us...

Embodiment 3

[0076]As described in the second embodiment above, the method for performing curve processing on video popularity, in practical applications, since the video website provides a variety of different video resources, different users can watch the corresponding video resources by visiting the video website, for example, different users When watching the video: "The Voice of China Finals", enter the corresponding playback interface to play the video, and record the user's dragging behavior. The steps in this embodiment are:

[0077] Step 1: Divide the total duration of the video "The Voice of China Finals" with 10 minutes as the unit time, and divide the video "The Voice of China Finals" into multiple time periods. When the video is played, count every 10 minutes The cumulative value of the user's dragging behavior within a time period in which the unit is minutes.

[0078] Step 2, when the cumulative value of the dragging behavior of the user within a certain period of time in th...

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Abstract

The invention discloses a method and system for performing curve processing on video hot degree. The method includes the following steps that: after a video is divided into a plurality of time segments with the same time interval according to overall time displayed on a playing rolling bar, the accumulative values of dragging behaviors of users in each time segment are put into statistics; when the accumulative value of the dragging behaviors of the users in a certain time segment achieves a preset statistic threshold value, the percentage values of hot degree points corresponding to each time segment are determined according to the statistic threshold value and the accumulative values of the dragging behaviors of the users in each time segment; and in a coordinate system formed by an X axis which is represented by the overall time of the video and a Y axis which is represented by the percentage values, points corresponding to the hot degree points are marked and are connected together so as to form a curve characterizing the hot degree of the video. With the method and system of the invention adopted, the problem of incapability of an existing video hot point determining method to actually reflect actual video hot points of videos under a network environment can be solved.

Description

technical field [0001] The present application relates to the field of video popularity, and more specifically, to a method and system for performing curve processing on video popularity. Background technique [0002] With the rapid development of Internet technology, the way people obtain information has changed: from traditional books, newspapers, TV, radio, etc., to Internet access. In particular, the Internet shares rich and comprehensive online video resources such as film and television programs, news, advertisements, chat videos, game videos, and surveillance videos, so that online video has become an irreplaceable and important way for people to learn, socialize, and entertain. [0003] In practice, due to the continuous growth of video data, manual production of video hotspots requires a lot of manpower, and the content of the collected video highlights depends entirely on manual editing. The determination of video hotspots mainly depends on video hotspot editors an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/258
CPCH04N21/25866H04N21/25891
Inventor 林洋孔令飞
Owner LETV INFORMATION TECH BEIJING
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