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.

Adaptive Video Compression for Video Surveillance Applications / A. D. Bagdanov;M. Bertini;A. Del Bimbo;L. Seidenari. - ELETTRONICO. - (2011), pp. 190-197. (Intervento presentato al convegno International Symposium on Multimedia nel 2011-December) [10.1109/ISM.2011.38].

Adaptive Video Compression for Video Surveillance Applications

BAGDANOV, ANDREW DAVID;BERTINI, MARCO;DEL BIMBO, ALBERTO;SEIDENARI, LORENZO
2011

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.
2011
Proc. of ISM Int`l Symposium on Multimedia
International Symposium on Multimedia
2011-December
A. D. Bagdanov;M. Bertini;A. Del Bimbo;L. Seidenari
File in questo prodotto:
File Dimensione Formato  
ism2011.pdf

Accesso chiuso

Tipologia: Versione finale referata (Postprint, Accepted manuscript)
Licenza: Tutti i diritti riservati
Dimensione 836.32 kB
Formato Adobe PDF
836.32 kB Adobe PDF   Richiedi una copia

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/524263
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 17
  • ???jsp.display-item.citation.isi??? ND
social impact