Paper
5 October 2001 Active video flow control technique based on spatio-temporal segmentation of video sequences
Cristina Urdiales, Antonio J. Bandera, Juan Antonio Rodriguez, Francisco Sandoval
Author Affiliations +
Proceedings Volume 4572, Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision; (2001) https://doi.org/10.1117/12.444205
Event: Intelligent Systems and Advanced Manufacturing, 2001, Boston, MA, United States
Abstract
This paper presents a control mechanism for video compression and transmission that relies on spatio-temporal image segmentation and non-uniform resolution representation. In the proposed scheme, a linked pyramid structure is built over each frame. Therefore, the video sequence is processed as a 3D data batch instead of a series of 2D images. The spatio-temporal segmentation is based on the adaptive link principle. The set of links defined between nodes of a single pyramid structure is extended to consecutive pyramids. According to the adaptive link principle, links between consecutive pyramids are rearranged so that a given node at a pyramid is linked to an homogeneous region of pixels at its base, but also to an homogeneous region of pixels at the base of the previous pyramid. Hence, resulting regions are coherent in time but also in space and any region may be extracted and tracked through the sequence by following the link structure. Then, if we assume that the most important regions of the frames are typically those changing more often, they can be represented at high resolution, while the least important regions can be represented at low resolution. This operation allows a severe data volume reduction when transmitting the video signal. Besides, regions presenting few changes from frame to frame do not need to be transmitted as often as moving areas because they will be very similar during a few frames.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cristina Urdiales, Antonio J. Bandera, Juan Antonio Rodriguez, and Francisco Sandoval "Active video flow control technique based on spatio-temporal segmentation of video sequences", Proc. SPIE 4572, Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision, (5 October 2001); https://doi.org/10.1117/12.444205
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Cited by 1 scholarly publication.
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KEYWORDS
Video

Image segmentation

Video compression

Video processing

Active vision

Computer vision technology

Machine vision

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