International Journal of Wireless and Microwave Technologies(IJWMT)

ISSN: 2076-1449 (Print), ISSN: 2076-9539 (Online)

Published By: MECS Press

IJWMT Vol.1, No.3, Jun. 2011

A Comprhensive CBVR System Based on Spatiotemporal Features Such as Motion,Quantized Color and Edge Density Features

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Kalpana S.Thakre,Archana M.Rajurkar

Index Terms

Content based video retrieval (CBVR) system; shot segmentation; motion feature; quantized color feature; edge density; Latent Semantic Indexing (LSI)


Rapid development of the multimedia and the associated technologies urge the processing of a huge database of video clips. The processing efficiency depends on the search methodologies utilized in the video processing system. Use of inappropriate search methodologies may make the processing system ineffective. Hence, an effective video retrieval system is an essential pre-requisite for searching relevant videos from a huge collection of videos. In this paper, an effective content based video retrieval system based on some dominant features such as motion, color and edge is proposed. The system is evaluated using the video clips of format MPEG-2 and then precision-recall is determined for the test clip.

Cite This Paper

Kalpana S.Thakre,Archana M.Rajurkar,"A Comprhensive CBVR System Based on Spatiotemporal Features Such as Motion,Quantized Color and Edge Density Features", IJWMT, vol.1, no.3, pp.1-5, 2011.


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