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

Shanmugam Kalpana | Zendy; M Archana | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

Shanmugam Kalpana,

M Archana

Publication year - 2011

Publication title -

international journal of wireless and microwave technologies

Language(s) - English

Resource type - Journals

eISSN - 2076-9539

pISSN - 2076-1449

DOI - 10.5815/ijwmt.2011.03.01

Subject(s) - clips , computer science , enhanced data rates for gsm evolution , computer vision , artificial intelligence , motion (physics) , video processing , precision and recall

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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research