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Video synopsis is a smart solution to fast browsing and retrieval of raw surveillance data, in which tube rearrangement plays a key role. However, conventional methods for tube rearrangement are based on minimizing a global energy function, which is computational intensive and time consuming. In this letter, we propose a novel tube rearrangement strategy for online video synopsis by analyzing collision...
This paper investigates a tensor-decomposition-based algorithm for the arrival angle estimation. With the assistance of multiple invariance modeling and uniqueness property of Canonical Polyadic Decomposition (CPD), the proposed method is capable of performing well even in worse conditions. Furthermore, by exploiting the feature of Vandermonde structure, a modified preprocessing step has been incorporated...
Motion estimation is an important computing intensive component in most video compression standards. The high computational costs and heavy memory bandwidth requirements of motion estimation give huge pressure to most existing programmable processors, especially in real-time high definition H.264 video encoding. Emerging stream processing model supported by most programmable processors provide a powerful...
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