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26 February 2007 A generic software-framework for distributed, high-performance processing of multi-view video
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Proceedings Volume 6496, Real-Time Image Processing 2007; 64960B (2007)
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
This paper presents a software framework providing a platform for parallel and distributed processing of video data on a cluster of SMP computers. Existing video-processing algorithms can be easily integrated into the framework by considering them as atomic processing tiles (PTs). PTs can be connected to form processing graphs that model the data flow of a specific application. This graph also defines the data dependencies that determine which tasks can be computed in parallel. Scheduling of the tasks in this graph is carried out automatically using a pool-of-tasks scheme. The data format that can be processed by the framework is not restricted to image data, such that also intermediate data, like detected feature points or object positions, can be transferred between PTs. Furthermore, the processing can optionally be carried out efficiently on special-purpose processors with separate memory, since the framework minimizes the transfer of data. Finally, we describe an example application for a multi-camera view-interpolation system that we successfully implemented on the proposed framework.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dirk Farin and Peter H. N. de With "A generic software-framework for distributed, high-performance processing of multi-view video", Proc. SPIE 6496, Real-Time Image Processing 2007, 64960B (26 February 2007);

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