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Object recognition in compressed imagery

delete1998-04-01
delete15
PRE
AI
W
W. Brent Seales *
Y
Yuan, CJ
W
Wei Hu
C
Cutts, MD
DOI：10.1016/S0262-8856(97)00072-3delete
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Abstract

Abstract

En 中文
Image-based applications can save time and space by operating on compressed data. The problem is that most mid- and high-level image operations, such as object recognition, are formulated as sequences of operations in the image domain. Such methods need direct access to pixel information as a starting point, but the pixel information in a compressed image stream is not immediately accessible. In this paper we show how to perform object recognition directly on compressed images (JPEG) and index frames from video streams (MPEG I-frames) without recovering explicit pixel information. The approach uses eigenvectors constructed from compressed image data. Our performance results show that a five-fold speedup can be gained by using compressed data. (C) 1998 Elsevier Science B.V. All rights reserved.
Keywords:
object recognition
compressed images
JPEG
MPEG

Journal

Image and Vision Computing cover
Image and Vision Computing
IF:
4.2
Papers:
4.0K
Citations:
6.7K

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No organization information available