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1 November 1996 Video segmentation using 3D hints contained in 2D images
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Proceedings Volume 2916, Multimedia Storage and Archiving Systems; (1996)
Event: Photonics East '96, 1996, Boston, MA, United States
Int his paper, we present a new method for video sequence segmentation which can be used in video indexation applications. Our approach uses the image content as indices of segmentation. As for most video sequences, the images contain 3D hints. In order to detect these indices efficiently, we develop a two step Hough transformation (HT). The first HT tries to find all lines contained in video image. The second one according to the theory of projective geometry, gives the possible focus of expansion (FOE) point. Once we have all possible FOE positions, simple comparison of these positions tells the difference of video sequences. This method is robust not only for the images taken from well structured objects in the scene as buildings, roads and other man made entities, but also for the scene containing the flower field or other aligned natural objects. The results of the approach are shown at final part of the paper.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mohsen Ardebilian Fard, Xiaowei Tu, Liming Chen, and Pascal Faudemay "Video segmentation using 3D hints contained in 2D images", Proc. SPIE 2916, Multimedia Storage and Archiving Systems, (1 November 1996);

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