Contour Approximation for Faster Object Based Transcoding with Higher Perceptual Quality

نویسنده

  • Oleg V. Komogortsev
چکیده

Object aware video rate transcoding can significantly improve the perceptual quality of relatively low bit-rate video. However, precise object detection in arbitrary video scenes is computationally challenging. This paper presents an interesting experimentation with a live eyegaze tracker which suggests that object detection, particularly for perceptual encoding, may not have to be precise. Indeed, a simple approximation can not only reduce the complexity of the detection process, but also result in improved perceptual quality and yield very fast transcoding algorithms.

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تاریخ انتشار 2004