ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Neural Net Based Scene Change Detection for Video Classification

Rao, Mallikarjuna RK and Ramakrishnan, KR and Balakrishnan, N and Srinivasan, SH (1999) Neural Net Based Scene Change Detection for Video Classification. In: IEEE 3rd Workshop on Multimedia Signal Processing, 13-15 September, Copenhagen,Denmark, 247 -252.


Download (221kB)


A new technique for scene change detection using neural networks is proposed to operate on compressed video data obtained with only minimal decoding of video. In this paper various types of neural network structures have been trained and tested on different varieties of video clips. The neural networks are shown to be robust for camera activities and object movements. They gave comparatively good results over the conventional techniques. All the algorithms are tested on MPEG-1 video streams.

Item Type: Conference Paper
Publisher: IEEE
Additional Information: DOI is currently only displayed. Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Interdisciplinary Sciences > Supercomputer Education & Research Centre
Date Deposited: 06 Mar 2006
Last Modified: 19 Sep 2010 04:24
URI: http://eprints.iisc.ac.in/id/eprint/5770

Actions (login required)

View Item View Item