Spatial scalable JPEG2000 transcoding and tracking of regions of interest for video surveillance

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Quast K, Kaup A
Publication year: 2008
Pages range: 111-120
ISBN: 9781586039219
Language: English


Abstract


This paper presents a method for spatial scalable region of interest transcoding of JPEG2000 coded video frames for video surveillance systems. Based on a user defined ROI the method transcodes HD frames into images in moderate resolution with a ROI in HD resolution. The transcoder extracts all packets belonging to the ROI or the lower resolution levels of the background from the JPEG2000 bitstream. Non-ROI packets of higher resolution levels are replaced by empty packets. The ROI is tracked using a mean shift algorithm to guarantee that always the correct image details are extracted in high resolution. Since the transcoding is performed by extracting and replacing packets of the codestream, an expensive re-encoding of the code-stream is not required. Thus, the transcoding technique is of low complexity and shows a short processing time. Combining the transcoding technique with mean shift tracking leads to a powerful video transcoding technique.


FAU Authors / FAU Editors

Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Quast, Katharina Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Quast, K., & Kaup, A. (2008). Spatial scalable JPEG2000 transcoding and tracking of regions of interest for video surveillance. In Proceedings of the 13th International Fall Workshop Vision, Modeling, and Visualization 2008, VMV 2008 (pp. 111-120). Konstanz, DE.

MLA:
Quast, Katharina, and André Kaup. "Spatial scalable JPEG2000 transcoding and tracking of regions of interest for video surveillance." Proceedings of the 13th International Fall Workshop Vision, Modeling, and Visualization 2008, VMV 2008, Konstanz 2008. 111-120.

BibTeX: 

Last updated on 2019-24-05 at 19:08