Contour Approximation for Faster Object based Transcoding with Higher Perceptual Quality

O.V. Komogortsev and J.I. Khan (USA)


Transcoding, perceptual video encoding, human vision.


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 eye-gaze 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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