Title :
Adaptive Video Compression for Video Surveillance Applications
Author :
Bagdanov, Andrew D. ; Bertini, Marco ; Bimbo, Alberto Del ; Seidenari, Lorenzo
Author_Institution :
Media Integration & Commun. Center, Univ. of Florence, Florence, Italy
Abstract :
This article describes an approach to adaptive video coding for video surveillance applications. Using a combination of low-level features with low computational cost, we show how it is possible to control the quality of video compression so that semantically meaningful elements of the scene are encoded with higher fidelity, while background elements are allocated fewer bits in the transmitted representation. Our approach is based on adaptive smoothing of individual video frames so that image features highly correlated to semantically interesting objects are preserved. Using only low-level image features on individual frames, this adaptive smoothing can be seamlessly inserted into a video coding pipeline as a pre-processing state. Experiments show that our technique is efficient, outperforms standard H.264 encoding at comparable bit rates, and preserves features critical for downstream detection and recognition.
Keywords :
data compression; feature extraction; pipeline processing; smoothing methods; video coding; video surveillance; adaptive smoothing; adaptive video coding pipeline; adaptive video compression; computational cost; downstream detection; downstream recognition; low level image feature; preprocessing state; quality control; scene encoding; video frames; video surveillance applications; Bandwidth; Detectors; Feature extraction; Image coding; Image edge detection; Smoothing methods; Streaming media; H.264; Video coding; video analysis; video-surveillance;
Conference_Titel :
Multimedia (ISM), 2011 IEEE International Symposium on
Conference_Location :
Dana Point CA
Print_ISBN :
978-1-4577-2015-4
DOI :
10.1109/ISM.2011.38