Multimed Tools Appl https://doi.org/10.1007/s11042-018-6108-0 Saturation-aware human attention region of interest algorithm for efficient video compression 1 1 Sylvia O. N’guessan & Nam Ling Received: 24 September 2017 /Revised: 23 March 2018 /Accepted: 8 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract We propose a saturation-aware human attention region-of-interest (SA-HAROI) video compression method that performs a perceptual adaptive quantization algorithm on video frames as a function of the distribution of their luminance, motion vector, and color saturation. Our work is an application of a psycho-visual study that demonstrated that human attention automatically enhanced perceived saturation. Consequently, the adaptive quantization phase of our compression algorithm is characterized by a luminance and saturation-aware just noticeable distortion (JND) function. After running multiple experiments on 18 videos with various resolutions ranging from QCIF to 4 K, results showed that our method achieves higher compression than that of both the H.264/AVC JM and the HEVC HM while maintaining subjective quality. We observed that in comparison to both implementation of the standards (JM and HM), for an IPPP coding structure, the performance of our algorithm culminated with HD and 4 K videos yielding a bit rate reduction averaging 15% and an encoding
Multimedia Tools and Applications – Springer Journals
Published: Jun 4, 2018
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