@inproceedings{Zhu2005c,
abstract = {With the proliferation of camera equipped cell phones and the deployment of the higher data rate 2.5G and 3G infra structure systems, providing consumers with video-equipped cellular communication infrastructure is highly desirable, and can drive the development of a large number of valuable applications. However, for an uplink wireless channel, both the bandwidth and battery energy in a mobile phone are limited for video communications. In this paper, we pursue an energy efficient video communication solution through joint video summarization and transmission adaptation over a slow fading wireless channel. Coding and modulation schemes and packet transmission strategy are optimized and adapted to the unique packet arrival and delay characteristics of the video summaries. In additional to the optimal solution, we also propose a heuristic solution that is greedy but has close to optimal performance. Operational energy efficiency - summary distortion performance is characterized under an optimal summarization setting. Simulation results show the advantage of the proposed scheme with respect to energy efficiency and video transmission quality.},
author = {Li, Zhu and Zhai, Fan and Katsaggelos, Aggelos K.},
booktitle = {Visual Communications and Image Processing 2005},
doi = {10.1117/12.631646},
isbn = {9780819459763},
issn = {0277786X},
month = {jun},
pages = {81},
publisher = {SPIE},
title = {{Video summarization for energy efficient wireless streaming}},
url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/5960/631646/Video-summarization-for-energy-efficient-wireless-streaming/10.1117/12.631646.full},
volume = {5960},
year = {2005}
}

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