Video frequency retrieving method based on body and remarking technology

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. [...

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 relationship between subcategories, so the keywords obtained from the annotation cannot effectively describe the video content and structure

This method can well reflect the semantic features of video data, but the annotation needs to be done manually, which makes the annotation cost higher, and the annotation result has a great relationship with the annotator, and the irregular annotation has brought great harm to the retrieval. Difficulties

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