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Proceedings Paper

Resource-optimized delivery of web images to small-screen devices
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Paper Abstract

A framework for real-time adaptive delivery of web images to resource-constrained devices is presented, bringing together techniques from image analysis, compression, rate-distortion optimization, and user interaction. Two fundamental themes in this work are: (1) a structured and scalable representation, obtained through content- and lower-level image analysis, that allows multiple descriptions of object regions, and (2) resource-optimized content adaptation in real time, facilitated by an algorithm for directly merging LZ77-compressed streams without the need for additional string matching. Also introduced is a new distortion measure for image approximations based on a feature space distance. Using this measure, a color reduction algorithm is proposed. Simulation studies show that this algorithm can yield better results than previous approaches, both from a visual standpoint and in terms of feature space distortion.

Paper Details

Date Published: 13 January 2003
PDF: 12 pages
Proc. SPIE 5010, Document Recognition and Retrieval X, (13 January 2003); doi: 10.1117/12.476327
Show Author Affiliations
Yunnan Wu, Princeton Univ. (United States)
Daniel P. Lopresti, Lucent Technologies/Bell Labs. (United States)

Published in SPIE Proceedings Vol. 5010:
Document Recognition and Retrieval X
Tapas Kanungo; Elisa H. Barney Smith; Jianying Hu; Paul B. Kantor, Editor(s)

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