Title :
Efficient H.264 video coding with a working memory of objects
Author :
Dai, Wenqing ; Sun, Yu ; He, Zhihai
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Missouri, Columbia, MO, USA
Abstract :
In this work, we investigate a working memory approach for efficient temporal prediction in H.264 video coding. After video frames are encoded, objects are extracted, analyzed, and indexed in a dynamic database which acts as a working memory for the H.264 video encoder. During the encoding process, objects with similar spatial characteristics are retrieved from the working memory and used for motion prediction of objects in the current video frame. This approach extends the multiple-frame estimation and provides a more generic framework for spatiotemporal prediction of video data. Our experimental results on surveillance video data demonstrate that the proposed approach is able to save the coding bit rate by up to 35% with a small computational overhead.
Keywords :
database indexing; feature extraction; image motion analysis; object detection; spatiotemporal phenomena; video coding; video surveillance; H.264 video coding; database indexing; encoding process; multiple-frame estimation; object extraction; object motion prediction; spatiotemporal prediction; video surveillance; working memory approach; Bit rate; Cameras; Encoding; Layout; Remote monitoring; Spatial databases; Spatiotemporal phenomena; Surveillance; Video coding; Video compression; H.264; motion prediction; object retrieval; object segmentation; video coding;
Conference_Titel :
Picture Coding Symposium, 2009. PCS 2009
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-4593-6
Electronic_ISBN :
978-1-4244-4594-3
DOI :
10.1109/PCS.2009.5167364
