Mr. Renan Coudray Profile

Renan Coudray

at Univ de La Rochelle

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Proceedings Article | 10 January 2003 Paper

Feature point extraction in compressed domain

Renan Coudray, Bernard Besserer, Pierre Courtellemont

Proceedings Volume 5021, (2003) https://doi.org/10.1117/12.476262

KEYWORDS: Image compression, Feature extraction, Sensors, Edge detection, Image filtering, Video, Lanthanum, Databases, Video compression, Image processing

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This document presents several approaches to extract interest points within compressed images (based on DCT compression methods). The goal is to minimize the stages and/or the calculation costs for image sequence indexing tasks or database retrieval from a significant MPEG file repository. Initially, only the fixed images (I-Frames) are take under consideration, motion will be integrated in further research. The traditional invariant feature points (Harris corner points, points with remarquable principal curvatures) are extracted from images using a gradient estimate (first order derivative) or the Laplacian (second-order derivative) of an image. So the first part of this paper handles in detail the derivation of the signal from DCT blocks. The trials to implement feature points detection as close as possible to the DCT coefficient are explained. Results provided by our last DCT-blockwise curvature estimatiorare also shown.

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