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3D Shape Inferencing and Modeling for Video Retrieval

✍ Scribed by Zhibin Lei; Yun-Ting Lin

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
285 KB
Volume
11
Category
Article
ISSN
1047-3203

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✦ Synopsis

We present a geometry-based indexing approach for the retrieval of video databases. It consists of two modules: 3D object shape inferencing from video data and geometric modeling from the reconstructed shape structure. A motion-based segmentation algorithm employing feature block tracking and principal component split is used for multi-moving-object motion classification and segmentation. After segmentation, feature blocks from each individual object are used to reconstruct its motion and structure through a factorization method. The estimated shape structure and motion parameters are used to generate the implicit polynomial model for the object. The video data is retrieved using the geometric structure of objects and their spatial relationship. We generalize the 2D string to 3D to compactly encode the spatial relationship of objects.

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