The phenomenon of reduced spatial resolution perceived away from the point of gaze (foveation point) in a scene by the human visual system can be gainfully exploited in image and video compression. Interest has recent...
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ISBN:
(纸本)9781424404810
The phenomenon of reduced spatial resolution perceived away from the point of gaze (foveation point) in a scene by the human visual system can be gainfully exploited in image and video compression. Interest has recently evolved from single foveation points to dynamic and multiple points of foveation, implementing which entails significantly increased complexity in the encoder. In this paper, a novel idea of efficiently combining adaptive multi-point foveation with salvaged high-resolution information for reuse in real-time video to maintain higher resolution in peripheral regions is proposed. The idea is implemented with a fast algorithm for multi-foveation processing, in conjunction with standard-compliant decoding. The new multi-foveation algorithm is integrated with the H.264/AVC standard for testing. Simulation results show a compression gain ranging from 2.25% to more than 11%, without degrading the perceived quality and PSNR and with minimal addition to the complexity of a standard uniform-resolution codec.
In human visual system the spatial resolution of a scene under view decreases uniformly at points of increasing distance from the point of gaze, also called foveation point. This phenomenon is referred to as foveation...
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ISBN:
(纸本)0819456586
In human visual system the spatial resolution of a scene under view decreases uniformly at points of increasing distance from the point of gaze, also called foveation point. This phenomenon is referred to as foveation and has been exploited in foveated imaging to allocate bits in image and videocoding according to spatially varying perceived resolution. Several digital image processing techniques have been proposed in the past to realize foveated images and video, In most cases a single foveation point is assumed in a scene[1-3]. Recently there has been a significant interest in dynamic as well as multi-point foveation. The complexity involved in identification of foveation points is however significantly high in the proposed approaches [4-5]. In this paper, an adaptive multi-point foveation technique for video data based on the concepts of regions of interests (ROIs) is proposed and its performance is investigated. The points of interest are assumed to be centroid of moving objects and dynamically determined by the foveation algorithm proposed. Fast algorithm for implementing region based multi-foveation processing is proposed. The proposed adaptive multi-foveation fully integrates with existing video codec standard in both spatial and DCT domain.
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