Rate-Distortion Optimized Illumination Estimation for Wavelet-Based Video Coding
We propose a rate-distortion optimized framework for estimating illumination changes (lighting variations, fade in/out effects) in a highly scalable coding system. Illumination variations are realized using multiplicative factors in the image domain and are estimated considering the coding cost of t...
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| Vydané v: | 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) s. 1213 - 1217 |
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| Hlavní autori: | , , , , |
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| Jazyk: | English |
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01.04.2018
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| ISSN: | 2379-190X |
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| Abstract | We propose a rate-distortion optimized framework for estimating illumination changes (lighting variations, fade in/out effects) in a highly scalable coding system. Illumination variations are realized using multiplicative factors in the image domain and are estimated considering the coding cost of the illumination field and input frames which are first subject to a temporal Lifting-based Illumination Adaptive Transform (LIAT). The coding cost is modelled by an ℓ 1 -norm optimization problem which is derived to approximate a quadratic-log function which emerges from rate-distortion considerations. The optimization problem is solved using ADMM. The proposed solution works the same or better than a mesh-based approach proposed in prior work, where sparsity was controlled by explicitly choosing mesh parameters. In the compression-inspired formulation presented here, sparsity is discovered automatically through the solution of a convex program that depends only on a target rate-distortion operating point. |
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| AbstractList | We propose a rate-distortion optimized framework for estimating illumination changes (lighting variations, fade in/out effects) in a highly scalable coding system. Illumination variations are realized using multiplicative factors in the image domain and are estimated considering the coding cost of the illumination field and input frames which are first subject to a temporal Lifting-based Illumination Adaptive Transform (LIAT). The coding cost is modelled by an ℓ 1 -norm optimization problem which is derived to approximate a quadratic-log function which emerges from rate-distortion considerations. The optimization problem is solved using ADMM. The proposed solution works the same or better than a mesh-based approach proposed in prior work, where sparsity was controlled by explicitly choosing mesh parameters. In the compression-inspired formulation presented here, sparsity is discovered automatically through the solution of a convex program that depends only on a target rate-distortion operating point. |
| Author | Young, Sean Haghighat, Maryam Naman, Aous Mathew, Reji Taubman, David |
| Author_xml | – sequence: 1 givenname: Maryam surname: Haghighat fullname: Haghighat, Maryam organization: School of Electrical Engineering and Telecommunications, The University of New South Wales, Australia – sequence: 2 givenname: Reji surname: Mathew fullname: Mathew, Reji organization: School of Electrical Engineering and Telecommunications, The University of New South Wales, Australia – sequence: 3 givenname: Aous surname: Naman fullname: Naman, Aous organization: School of Electrical Engineering and Telecommunications, The University of New South Wales, Australia – sequence: 4 givenname: Sean surname: Young fullname: Young, Sean organization: School of Electrical Engineering and Telecommunications, The University of New South Wales, Australia – sequence: 5 givenname: David surname: Taubman fullname: Taubman, David organization: School of Electrical Engineering and Telecommunications, The University of New South Wales, Australia |
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| Snippet | We propose a rate-distortion optimized framework for estimating illumination changes (lighting variations, fade in/out effects) in a highly scalable coding... |
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| StartPage | 1213 |
| SubjectTerms | Distortion Encoding Illumination estimation Lighting Optimization R-D optimization Rate-distortion Scalable video coding Wavelet transforms Wavelet-based coding |
| Title | Rate-Distortion Optimized Illumination Estimation for Wavelet-Based Video Coding |
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