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Stereoscopic video is an important manner for 3-D video applications, and robust stereoscopic video transmission has posed a technical challenge for stereoscopic video coding. In this paper, an auto-regressive (AR) model based error concealment scheme is proposed for stereoscopic video coding to address the challenging problem. The proposed error concealment scheme includes a temporal AR model for...
Treating visual object tracking as foreground and background classification problem has attracted much attention in the past decade. Most methods adopt mean shift or brute force search to perform object tracking on the generated probability map, which is obtained from the classification results; however, performing probabilistic object tracking on the probability map is almost unexplored. This paper...
In this paper, a high efficient temporal error concealment scheme based on auto-regressive (AR) model is proposed for video coding. The proposed AR based error concealment scheme includes a forward AR model for P slice, and a bi-direction AR model for B slice. First, we utilize the block matching algorithm (BMA) to select the best motions for lost blocks from the motions of available neighboring blocks...
Background subtraction in dynamic scenes is an important and challenging task. In this paper, we present a novel and effective method for dynamic background subtraction based on covariance matrix descriptor. The algorithm integrates two distinct levels: pixel level and region level. At the pixel level, spatial properties that are obtained from pixel coordinate values, and appearance properties, i...
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