NDLI: Image retrieval based on weighted texture features using DCT coefficients of JPEG images

Content Provider	IEEE Xplore Digital Library
Author	Xiang-Yu Huang Yu-Jin Zhong Dong Hu
Copyright Year	2003
Description	Author affiliation: Dept. of Electron. Eng., Tsinghua Univ., Beijing, China (Xiang-Yu Huang; Yu-Jin Zhong)
Abstract	The advent of compression standards, such as JPEG and MPEG, has led to the popularity of the compressed form of image data. This has brought on the proliferation of image retrieval techniques in the compressed domain. In this paper, a compressed domain technique for image retrieval, which can extract texture features from DCT coefficients (e.g., within JPEG images) directly, is discussed. It is based on the reordering of the coefficient subbands into s structure similar to the structure of the multiresolution wavelet subbands. A self-adaptive procedure for generating weights to be associated with different subbands is proposed. A method for assigning suitable weights for new query image is also introduced. Based on weight generation and selection, the performance of texture image retrieval in DCT compressed domain is improved as shown by the experiments carried on the Brodatz texture images.
Sponsorship	Microsoft Res. Asia Singapore Exhibition and Convention Bureau
Starting Page	1571
Ending Page	1575
File Size	368264
Page Count	5
File Format	PDF
ISBN	0780381858
DOI	10.1109/ICICS.2003.1292731
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-12-15
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image retrieval Discrete cosine transforms Image coding Transform coding Feature extraction Data engineering Information retrieval Data mining Decorrelation MPEG 7 Standard
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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