Research and Realization Based on Content Video Retrieval

Li Wei Chen; Yong Li Gao

doi:10.4028/www.scientific.net/AMM.55-57.2163

Paper Titles

Research on Construction Method of Optimization Model between Customer Requirements and Product Technical Characteristics Configuration
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Development of Product Options for Modular Product Development
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Research of Embedded Internet Technology for Internet of Things
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Optimization Allocation Research of Enterprise Resources Based on Dynamic Programming
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Research and Realization Based on Content Video Retrieval
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RFID Enabled Signal Priority Strategies for Bus Operations
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Parametric Modeling Based on Orthogonal Milling Process
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A Study on the Design of Compound Die with Constant Blank Holder Pressure
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The Analysis and Study of Methods of Calculating Oblique Edge Shear Force
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 55-57Research and Realization Based on Content Video...

Research and Realization Based on Content Video Retrieval

Abstract:

Along with the multimedia technological development and the large-scale database widespread application, the content video retrieval technology obtains the rapid development, at the same time, the algorithms were also proposed. This article has carried on the induction summary to these new theory technologies based on the content video retrieval demonstration system. This article first introduced based on the content video retrieval essential technology including regards the lens the boundary examination and the division, the essential frame selection the characteristic withdraws, the similar match and the video frequency gathers the kind and so on. Simultaneously provided video frequency retrieval essential technology some algorithms,and carried on the summary regarding the recent years based on the content.

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Periodical:

Applied Mechanics and Materials (Volumes 55-57)

Pages:

2163-2168

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.55-57.2163

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Online since:

May 2011

Authors:

Li Wei Chen, Yong Li Gao

Keywords:

Content Video Retrieval, Feature Extraction, Lens Division

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