Video frequency retrieving method based on body and remarking technology

A video and annotation technology, applied in character and pattern recognition, image data processing, special data processing applications, etc., can solve the problems of irregular annotation, difficult retrieval, inability to effectively describe video content, etc., and achieve the effect of meeting the norm.

Inactive Publication Date: 2008-02-13
XIANGTAN UNIV
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AI Technical Summary

Problems solved by technology

[0003] Some achievements have been made in video retrieval abroad through annotation methods. There are mainly the following methods for video annotation: 1. Video annotation method using icon language. Although this method is intuitive, it cannot Effectively describe video content
2. Semi-automatic video annotation using relevant feedback technology, but the ontology applied by this method does not clearly describe the relation...

Method used

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  • Video frequency retrieving method based on body and remarking technology
  • Video frequency retrieving method based on body and remarking technology
  • Video frequency retrieving method based on body and remarking technology

Examples

Experimental program
Comparison scheme
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Embodiment

[0030] Take sports videos, for example.

[0031] 1. The establishment of semantic dictionary.

[0032] Taking football in the field of sports as an example, the football semantic dictionary includes possible characters in the video, the current actions of the players, the position of the players and the type of game. The semantic dictionary is established, as shown in Figure 1, and then saved in the form of XML.

[0033] 2. Extract video playback shots and key frames.

[0034] 2.1 Replay lens extraction:

[0035] First, the replay lens logo matching template is selected from the video through user interaction, and the distance between it and the replay camera logo template is calculated for each frame. The distance calculation is given by:

[0036] d ( s , t ) = sqrt i = 0 n ...

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Abstract

The present invention discloses a video retrieval method, which is based on a noumenon and annotation technology, belonging to the video retrieval technology field. The prior video retrieval method has disadvantages such as nonstandard search words and low retrieval efficiency. According to deficiencies in prior art, the present invention proposes a video retrieval method, which is based on the noumenon and annotation technology. The present invention designs a noumenon-based semantic dictionary and uses standard field words to describe video contents and structures, solving the problem of nonstandard search words. The present method annotates lens and key frames, uses XML to display video data, defines a layered video meta-data structure, combines XML hierarchical features to demonstrate the hierarchical relations of video data and realizes a nonlinear organization of video data, thereby making video retrieval more efficient and convenient. The experiment result shows that compared with prior art, the present invention can obtain a higher retrieval accuracy and faster retrieval speed.

Description

technical field [0001] The invention belongs to the technical field of video retrieval, and in particular relates to a video retrieval method based on ontology and annotation technology. Background technique [0002] With the rapid increase of video data, how to organize and manage a large amount of multimedia information and realize fast and effective video browsing and retrieval has become the focus of attention today. At present, most multimedia applications seldom use the semantic information of the media. There is no connection between the contents of various media, and the information cannot be organized, processed and used according to these connections. Therefore, it is necessary to adopt corresponding methods and tools to annotate multimedia data in different forms and sources by adding relevant semantics, so as to facilitate the organization and management of a large amount of multimedia information, and realize fast and effective video browsing and retrieval. [...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06T7/20G06K9/00
Inventor 欧阳建权李莹莹张敏唐玉元
Owner XIANGTAN UNIV
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