High-dimension spatial point covering hypersphere video sequence annotation system and method

A high-dimensional space and video sequence technology, applied in character and pattern recognition, special data processing applications, instruments, etc., can solve the problems of low performance, non-existence, and unreasonable image labeling, so as to improve the query process and improve the quality , improve the effect of retrieval

Inactive Publication Date: 2016-10-12
上海迪目信息科技有限公司
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Problems solved by technology

In the real world environment, especially in the Internet environment, these restrictions generally do not exist or are unreasonable
Many automatic image annotation methods under limited conditions basically do not consider the image annotation problem in the real world environment, and they do not perform well in practical applications. Semantic concepts and other issues

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  • High-dimension spatial point covering hypersphere video sequence annotation system and method
  • High-dimension spatial point covering hypersphere video sequence annotation system and method
  • High-dimension spatial point covering hypersphere video sequence annotation system and method

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Embodiment Construction

[0019] The preferred implementation modes of the present invention will be described in detail below in conjunction with the accompanying drawings and examples, so as to fully understand and implement the process of how to apply technical means to solve technical problems and achieve technical effects in the present invention.

[0020] Such as image 3 As shown, the system of high-dimensional space point hypersphere coverage video sequence labeling of the present invention includes:

[0021] A semantic analysis module is used for performing semantic analysis on the context of the video image;

[0022] The semantic field management module realizes the priority relationship coverage model of semantics through different semantic channels;

[0023] The visual similarity measurement calculation module realizes point geometric relationship calculation based on high-dimensional space through the spatial point coverage of image content;

[0024] The image database is used for access...

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Abstract

The invention discloses a high-dimension spatial point covering hypersphere video sequence annotation system and method. The method comprises the following steps: utilizing a vocabulary network to assist in analyzing correlation between annotated vocabularies, a most relevant vocabulary with best representativeness is picked up from a plurality of candidate keywords of one image, irrelevant noise vocabularies are filtered, and meanwhile, a situation that the similarity of images is judged through visual information is combined to obtain missing annotation information from the similar image; a semantic field is generated, the images with the same semantic information on an aspect of logics are organized to form an equipotential line; and through the analysis of the semantics with the images, annotation propagation and noise elimination are further carried out to realize image annotation improvement. The method aims to make video content retrieval convenient, and conforms to the subjective effects of people.

Description

technical field [0001] The invention relates to a high-dimensional space point intelligent video retrieval technology, in particular to a system and method for high-dimensional space point hypersphere coverage video sequence labeling. Background technique [0002] With the rapid development of multimedia image technology and storage devices, video information on the Internet is growing explosively. Compared with text information, visual image information is more vivid and easy to understand. How to help users quickly and accurately find the desired images has become one of the hot topics in multimedia research in recent years. Whether in business or academia, fast and efficient video retrieval technology has become an important research direction. [0003] Video retrieval technology started with text-based image retrieval. However, with the increasing number of digital images, text-based image retrieval is time-consuming and laborious, and the annotation results are subject...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/00
CPCG06F16/7867G06V20/46
Inventor 杨珺朱世交
Owner 上海迪目信息科技有限公司
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