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Video fragment searching method and system

A technology of video clips and retrieval system, applied in the field of video analysis, can solve problems such as similarity error, achieve the effect of simple method design, improve the effect of similarity analysis, and improve the effect of video retrieval

Inactive Publication Date: 2009-04-01
TSINGHUA UNIV
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AI Technical Summary

Problems solved by technology

It can be seen that the existing algorithms can achieve better video retrieval results when the two video clips have similar durations, and when the duration difference between the two video clips is large, the calculated similarity is greater. error

Method used

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  • Video fragment searching method and system
  • Video fragment searching method and system

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Embodiment Construction

[0039] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0040] refer to figure 1 , which shows an embodiment of a video segment retrieval method of the present invention, which may specifically include the following steps:

[0041] Step 101, perform frame sampling on the original video segment.

[0042] Before the similarity analysis of the video clips, the original video clips are first frame-sampled according to the preset sampling rate, that is, one frame is selected every preset number of frames as the sampling frame of the original video clips.

[0043] Step 102, clustering the sampling frames selected in each original video clip, selecting a frame image in each cluster as a representative frame, and calculating the proportion of the representative frame according to the number o...

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Abstract

The invention provides a video clip retrieval method and a system, and the method comprises the following steps: original video clips are frame-sampled; sample frames selected from each original video clip are clustered, a frame of image is selected from each cluster as a representative frame, and the proportion value of the representative frame is calculated according to the quantity of intraframe images in each cluster; a weighted bipartite graph is built according to the representative frames of two video clips to be compared, and the weight of the weighted bipartite graph is determined by similarity between the representative frames and the proportion value of the representative frame in the corresponding cluster; maximum weight matching is carried out on the weighted ratio bipartite graph so that the similarity between the two video clips is obtained; and the video clips similar to the input video clips are searched in a database by the analysis of the similarity of the video clips. The video clip retrieval method and the system can accurately give similarity between video clips even in case of greater changes in video clip duration, and provide effective video retrieval results.

Description

technical field [0001] The invention relates to the technical field of video analysis, in particular to a video clip retrieval method and system. Background technique [0002] With the advancement of technology and the development of multimedia technology, video data has been used in various fields, such as security, digital library, advertisement, digital TV and entertainment. The ever-increasing amount of video data increases the difficulty of reading video information and obtaining the required video data. Therefore, how to quickly retrieve the required video data from massive videos is very important. [0003] Content-based video retrieval technology is an important method to solve the above problems. Content-based video retrieval refers to extracting object semantics and features (visual information, audio information, motion information, etc.) video data. Video clip retrieval is the main method of content-based video retrieval. It is given a query video clip and fi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 戴琼海高跃谢旭东
Owner TSINGHUA UNIV
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