@inproceedings{e44dae5a6a5c4f6bb9490e199a1263ae,
title = "Performance vs. complexity in scalable video coding for embedded surveillance applications",
abstract = "In this paper, we explore the complexity-performance trade-offs for camera surveillance applications. For this purpose, we propose a Scalable Video Codec (SVC), based on wavelet transformation in which we have adopted a t+2D architecture. Complexity is adjusted by adapting the configuration of the lifting-based motion-compensated temporal filtering (MCTF). We discuss various configurations and have found an SVC that has a scalable complexity and performance, enabling embedded applications. The paper discusses the trade-off of coder complexity, e.g. motion-compensation stages, compression efficiency and end-to-end delay of the video coding chain. Our SVC has a lower complexity than H.264 SVC, but the quality performance at full resolution is close to H.264 SVC (within 1 dB for surveillance type video at 4CIF, 60Hz) and at lower resolutions sufficient for our video surveillance application.",
author = "M.J.H. Loomans and C.J. Koeleman and {With, de}, P.H.N.",
year = "2008",
doi = "10.1117/12.759458",
language = "English",
isbn = "978-0-8194-6995-3",
series = "Proceedings of SPIE",
publisher = "SPIE",
editor = "W.A. Pearlman and J.W. Woods and Ligang Lu",
booktitle = "Visual communications and image processing 2008, 29-31 January 2008 San Jose, California, USA",
address = "United States",
note = "Visual Communications and Image Processing 2008 (VCIP 2008), January 29-31, 2008, San Jose, CA, USA, VCIP 2008 ; Conference date: 29-01-2008 Through 31-01-2008",
}