Title

A Search-Aware Jpeg-Ls Variation For Compressed Image Retrieval

Abstract

With increasing amount of image data such as the satellite images being stored in the compressed format, efficient retrieval of the images has become a major concern. For satellite images, one typical problem is, given an image pattern, we need to quickly locate its matches in the image. It is highly desired that the compressed images are not to be decompressed when the matching is being performed. This problem is generally referred as the "Two Dimensional Compressed Pattern Matching" problem. In this paper, we report our recent work on compressed pattern matching in JPEG-LS compressed images. The method proposed in this paper is primarily a two-pass variation of the JPEG-LS compression algorithm and the algorithm is made search-aware. Experimental results show that the two-pass compression algorithm, not like other search-aware compression algorithm, does not sacrifice the compression. The proposed approach can be easily adapted for other compression methods such as lossless JPEG and CALIC.

Publication Date

12-1-2004

Publication Title

2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004

Number of Pages

169-172

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

14544305480 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/14544305480

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