Paper
17 December 1998 VORTEX: video retrieval and tracking from compressed multimedia databases: affine transformation and occlusion invariant tracking from MPEG-2 video
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Abstract
In this paper, we present topics related to tracking of video objects in compressed video databases, within the context of video retrieval applications. We developed a video retrieval and tracking system (VORTEX), to enable operation directly on compressed video data. The structure of the video compression standards is exploited in order to avoid the costly decompression operation. This is achieved by utilizing motion compensation - a critical prediction filter embedded in video compression standards - to eliminate and interpolate the desired method for template matching. Occlusion analysis, filtering and motion analysis are used to implement fast tracking of objects of interest on the compressed video data. Being presented with a query in the form of template images of objects, the system operates on the compressed video in order to find the images or video sequences, where those objects are present and their positions are in the image. This enables the retrieval and display of the query-relevant sequences.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dan Schonfeld and Dan Lelescu "VORTEX: video retrieval and tracking from compressed multimedia databases: affine transformation and occlusion invariant tracking from MPEG-2 video", Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); https://doi.org/10.1117/12.333833
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Video

Video compression

Detection and tracking algorithms

Motion analysis

Databases

Multimedia

Motion estimation

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