JPEG 2000 Based Scalable Summary for Understanding Long Video Surveillance Sequences

Meessen, Jerome [Multitel] Delaigle, Jean-Francois [Multitel] Xu, Li-Sun [BT Research & Venturing] Macq, Benoît [UCL]

This paper presents a new method for remote and interactive browsing of long video surveillance sequences. The solution is based on interactive navigation in JPEG 2000 coded mega-images. We assume that the video 'key-frames' are available through automatic detection of scene changes or abnormal behaviors. These key-frames are concatenated in raster scanning order forming a very large 2D image, which is then compressed with JPEG 2000 to produce a scalable video summary of the sequence. We then exploit a mega image navigation platform, designed in full compliance with JPEG 2000 part 9 JPIP, to search and visualize desirable content, based on client requests. The flexibility offered by JPEG 2000 allows highlighting key-frames corresponding to the required content within a low quality and low-resolution version of the whole summary. Such a fine grain scalability is a unique feature of our proposed JPEG 2000 video summaries expansion. This possibility to visualize key-frames of interests and playback the corresponding video shots within the context of the whole sequence enables the user to understand the temporal relations between semantically similar events. It is then particularly suited to analyzing complex incidents consisting of many successive events spread over a long period.