2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDSS-VC.1
Paper Title KNOWLEDGE DISTILLATION FROM END-TO-END IMAGE COMPRESSION TO VVC INTRA CODING FOR PERCEPTUAL QUALITY ENHANCEMENT
Authors Runyu Yang, Dong Liu, University of Science and Technology of China, China; Siwei Ma, Peking University, China; Feng Wu, University of Science and Technology of China, China; Wen Gao, Peng Cheng Laboratory, China
SessionSS-VC: Special Session: Optimization techniques for next-generation video coding
LocationArea A
Session Time:Monday, 20 September, 15:30 - 17:00
Presentation Time:Monday, 20 September, 15:30 - 17:00
Presentation Poster
Topic Special Sessions: Advanced Optimization Techniques Towards Next-Generation Video Coding
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract In the current hybrid coding schemes, mean-squared-error is widely used for the rate-distortion optimization, which leads to high peak signal-to-noise ratio but sub-optimal perceptual quality. Although human perception-related measures, like multi-scale structural similarity (MS-SSIM), have been proposed, plugging them into the hybrid coding schemes may be computationally expensive. Recently, end-to-end optimized image compression has demonstrated the advantage of perceptual quality-oriented optimization by simply changing the training loss function. Inspired by this, we propose to distill the "perceptual" knowledge from end-to-end image compression and use the knowledge to enhance the perceptual quality for Versatile Video Coding (VVC) intra coding. For an input image, we obtain the block-level bit allocation via end-to-end image compression, and use the bit allocation to adjust the quantization parameter of VVC intra coding. Being compatible to the VVC standard, our method achieves on average 9.32% BD-rate reduction on the Kodak image set when evaluated by MS-SSIM, compared to the VVC reference software.