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

DCT Coefficient-Based Error Detection Technique for Compressed Video Stream.

Bhattacharyya, K and Jamadagni, HS (2000) DCT Coefficient-Based Error Detection Technique for Compressed Video Stream. In: 2000 IEEE International Conference on Multimedia and Expo. ICME 2000, 30 July-2 August, New York,USA, Vol.3, 1483 -1486.

[img]
Preview
PDF
DCT.pdf

Download (462kB)

Abstract

In the process of transmission of digital encoded video bit streams over a physical network, the data is corrupted by random bit errors, which has a severe effect on the decoded video quality. The success of an error concealment algorithm depends heavily on the detection of the corrupted regions. We propose a new error detection algorithm for discrete cosine transform based video coding. Our algorithm detects thus far undetectable erroneous regions with a very little increase in computational complexity. We show that erroneous blocks in the decoded frames can be detected by monitoring the variation of average energy from block to block. To avoid false detection due to the presence of strong edges we employ a very fast DCT coefficient based edge detection algorithm. Computer simulation shows that the quality of the recovered image is significantly improved in comparison to well-known methods.

Item Type: Conference Paper
Publisher: IEEE
Additional Information: 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 Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited: 28 Feb 2006
Last Modified: 19 Sep 2010 04:24
URI: http://eprints.iisc.ac.in/id/eprint/5730

Actions (login required)

View Item View Item