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

Yunnan Wu; Daniel P. Lopresti

doi:10.1117/12.476327

13 January 2003 Resource-optimized delivery of web images to small-screen devices

Yunnan Wu, Daniel P. Lopresti

Proceedings Volume 5010, Document Recognition and Retrieval X; (2003) https://doi.org/10.1117/12.476327
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

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.

Citation Download Citation

Yunnan Wu and Daniel P. Lopresti "Resource-optimized delivery of web images to small-screen devices", Proc. SPIE 5010, Document Recognition and Retrieval X, (13 January 2003); https://doi.org/10.1117/12.476327

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