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Method and system for retrieving similar videos

A video and video library technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as difficulty in further improving the effect, inability to accurately describe video content, and heavy workload, and achieve high efficiency and accuracy. search effect

Inactive Publication Date: 2013-08-21
UNIV OF SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It mainly completes the retrieval of similar videos by indexing the surrounding text of the video, but the video content is different from the text content, and there is a big difference between the video data and its semantic information, and the way of relying solely on the surrounding text cannot accurately describe the video The content also ignores multimedia features and information such as video visual perception
On the other hand, using a purely text-based method requires manual labeling of massive video data in the network, which is a huge workload. At the same time, there is a certain degree of subjectivity in labeling videos, and different people may have different understandings of the same video.
As a result, the accuracy of similarity retrieval is very low, and the effect is difficult to be further improved.

Method used

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  • Method and system for retrieving similar videos
  • Method and system for retrieving similar videos

Examples

Experimental program
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Embodiment 1

[0022] figure 1 It is a flowchart of a similar video retrieval method provided by Embodiment 1 of the present invention. Such as figure 1 As shown, it mainly includes the following steps:

[0023] Step 11, extract the key frame set of each video in the video library.

[0024] Since the difference between adjacent frames in the video is not large, if the method of extracting key frames at equal time intervals is used, the extraction frequency is too high, which will cause a huge amount of feature data and affect the feature extraction speed; and the difference between adjacent frames is not large, and the similarity is too large. However, if the extraction frequency is too low, although the amount of feature data can be reduced and the feature extraction speed can be accelerated, the extracted feature set cannot fully reflect the overall features of the video, thereby reducing the accuracy of retrieval.

[0025] Therefore, for each video data in the video library, the key fr...

Embodiment 2

[0057] Fig. 4 is a schematic diagram of a similar video retrieval system provided in Embodiment 2 of the present invention, as shown in Fig. 4, mainly including:

[0058] Feature vector calculation module 41, for utilizing the color space model to calculate the feature vector of each video key frame set in the video storehouse;

[0059] An index construction module 42, configured to map the feature vector through a hash function, and construct an index according to the interval where the mapped vector value is located;

[0060] The similarity calculation module 43 determines the serial number of the corresponding index according to the interval of each vector value after each motion vector mapping of the video to be retrieved, extracts the video information corresponding to all feature vectors under the corresponding index, and extracts the corresponding index according to the video to be retrieved and the corresponding index. The number of similar key frames in the video is u...

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Abstract

The invention discloses a method and a system for retrieving similar videos. The method includes: using a color space model to calculate feature vectors of each video key frame set in a video database; mapping the feature vectors through a hash function, and building indexes according to sections where mapped feature vectors are; determining number of a corresponding index of each section where each mapped feature vector of each motion vector of a to-be-retrieved video is, extracting video information corresponding to all feature vectors under corresponding indexes, and calculating similarity according to the to-be-retrieved video and similar video key frame number extracted from the corresponding indexes; and outputting videos corresponding to calculated results larger than threshold at retrieved results. By the method, efficiency and accuracy of similar video retrieving are increased.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to a method and system for similar video retrieval. Background technique [0002] With the rapid development of network streaming media technology, more and more videos and multimedia data appear on the Internet. These videos grow geometrically and become the mainstream of information release and entertainment on the Internet. In the face of massive multimedia data, how to quickly find similar or even identical videos from massive videos has become a hot research issue. [0003] Traditional text-based video retrieval methods have many shortcomings. It mainly completes the retrieval of similar videos by indexing the surrounding text of the video, but the video content is different from the text content, and there is a big difference between the video data and its semantic information, and the way of relying solely on the surrounding text cannot accurately describe the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 朱明曹海傧冯伟国汪昀
Owner UNIV OF SCI & TECH OF CHINA