2017 IEEE International Conference on Consumer Electronics (ICCE) 2017
DOI: 10.1109/icce.2017.7889258
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Moving object detection in the HEVC compressed domain for ultra-high-resolution interactive video

Abstract: Abstract-Pixel-domain techniques are too computationally complex for automatic object tracking in ultra-high resolution interactive panoramic video. Therefore, this paper proposes a fast object detection method in the compressed domain for High Efficiency Video Coding. Evaluation shows promising results for optimal object sizes.

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Cited by 4 publications
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“…The object-based watermarking might be robust because it is difficult to damage the watermark without affecting the visual quality of the foreground video objects which are very susceptible to the human visual system, and any changes in the objects are easily perceptible [2] . Moving objects blocks are detected from the video bitstream using a moving object detection algorithm [14,15] , which is independent of watermark embedding. To keep the bitstream compliant, the embedding process adopts the codeword substitution with the same length, avoiding an increase in bit rate.…”
Section: Introductionmentioning
confidence: 99%
“…The object-based watermarking might be robust because it is difficult to damage the watermark without affecting the visual quality of the foreground video objects which are very susceptible to the human visual system, and any changes in the objects are easily perceptible [2] . Moving objects blocks are detected from the video bitstream using a moving object detection algorithm [14,15] , which is independent of watermark embedding. To keep the bitstream compliant, the embedding process adopts the codeword substitution with the same length, avoiding an increase in bit rate.…”
Section: Introductionmentioning
confidence: 99%