Low bit-rate SNR scalable video coding based on overcomplete dictionary learning and sparse representation

Irannejad, Maziar; Mahdavi-Nasab, Homayoun

doi:10.1007/s11045-019-00671-6

Cited by 1 publication

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“…In our previous works, a hybrid intraframe and interframe sparse VC based on overcomplete DL is proposed in [22], which validates the advantages of sparse coding compared to H.264/AVC and even HEVC for low bitrates. The low bitrate SNR scalable VC based on overcomplete DL proposed in [23] also shows better performance than current scalable VC standards using complete dictionaries. However, this demands heavy computations of interframe motion estimation similar to the standard rivals and also, transmitting the dictionary to the decoder.…”

Section: Introductionmentioning

confidence: 99%

Sparse representation based intraframe and semi‐intraframe video coding schemes for low bitrates

Irannejad

Mahdavi-Nasab

2020

IET Image Processing

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This paper proposes some extensions of the successful sparse coding of still images to intraframe and semi-intraframe video coding. The presented frameworks apply the efficient K-singular value decomposition and recursive least squares dictionary learning methods for sparse representation of videos to study their coding performances. In the proposed semi-intraframe schemes, namely, SISC1 and SISC2, only frame-blocks with more than a threshold deviation from the blocks of the previous frame are transmitted/coded. This reduces the required bitrate and prevents the sparse coding of similar blocks, leading to more efficient video coding methods. The results show that the dictionary learning-based intraframe coding improves the rate-distortion performance of the conventional Motion-JPEG and Motion-JPEG2000 at low bitrates for more than about 3 and 0.5 dB of PSNR on average (for 0.2-1 bpp compression), respectively. The proposed methods outperform the basic dictionary learning-based coding, especially for slower changing videos, generally, with more than 3 dB superiority on average over the tested bitrates. These schemes even present superior performance than the HEVC in the intramode for the complex textured or cluttered scenes. The proposed SISC2 method also saves up to about 50% of the sparse coding computational cost by preventing the coding of more similar frame-blocks. 1 This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Introductionmentioning

confidence: 99%