Advanced Concepts for Intelligent Vision Systems - 19th International Conference, ACIVS 2018, Proceedings
The paper introduces a novel L
8 -constrained compression method for depth maps. The proposed method performs depth segmentation and depth prediction in each segment, encoding the resulting information as a base layer. The depth residuals are modeled using a Two-Sided Geometric Distribution, and distortion and entropy models for the quantized residuals are derived based on such distributions. A set of optimal quantizers is determined to ensure a fix rate budget at a minimum L
8 distortion. A fixed-rate L
8 codec design performing context-based entropy coding of the quantized residuals is proposed, which is able to efficiently meet user constraints on rate or distortion. Additionally, a scalable L
8 codec extension is proposed, which enables encoding the quantized residuals in a number of enhancement layers. The experimental results show that the proposed L
8 coding approach substantially outperforms the L
8 coding extension of the state-of-the-art CALIC method.
Chang, W , Schiopu, I & Munteanu, A 2018, L-Infinite Predictive Coding of Depth . in J Blanc-Talon, D Popescu, W Philips, D Helbert & P Scheunders (eds), Advanced Concepts for Intelligent Vision Systems - 19th International Conference, ACIVS 2018, Proceedings. 1 edn, vol. 11182, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11182 LNCS, Springer, Poitiers, France, pp. 475-486, International Conference on Advanced Concepts for Intelligent Vision Systems, Poitiers, France, 24/09/18 .
Chang, W. , Schiopu, I. , & Munteanu, A. (2018). L-Infinite Predictive Coding of Depth . In J. Blanc-Talon, D. Popescu, W. Philips, D. Helbert, & P. Scheunders (Eds.), Advanced Concepts for Intelligent Vision Systems - 19th International Conference, ACIVS 2018, Proceedings (1 ed., Vol. 11182, pp. 475-486). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11182 LNCS). Springer.
@inproceedings{876ac8f82fb749c88ccd4c8ffe35bd11,
title = " L-Infinite Predictive Coding of Depth " ,
abstract = " The paper introduces a novel L 8 -constrained compression method for depth maps. The proposed method performs depth segmentation and depth prediction in each segment, encoding the resulting information as a base layer. The depth residuals are modeled using a Two-Sided Geometric Distribution, and distortion and entropy models for the quantized residuals are derived based on such distributions. A set of optimal quantizers is determined to ensure a fix rate budget at a minimum L 8 distortion. A fixed-rate L 8 codec design performing context-based entropy coding of the quantized residuals is proposed, which is able to efficiently meet user constraints on rate or distortion. Additionally, a scalable L 8 codec extension is proposed, which enables encoding the quantized residuals in a number of enhancement layers. The experimental results show that the proposed L 8 coding approach substantially outperforms the L 8 coding extension of the state-of-the-art CALIC method. " ,
keywords = " Context modeling, Depth map compression, L-infinite norm, Optimized fixed-rate quantization " ,
author = " Wenqi Chang and Ionut Schiopu and Adrian Munteanu " ,
year = " 2018 " ,
month = sep,
day = " 27 " ,
doi = " 10.1007/978-3-030-01449-0_40 " ,
language = " English " ,
isbn = " 978-3-030-01448-3 " ,
volume = " 11182 " ,
series = " Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) " ,
publisher = " Springer " ,
pages = " 475486 " ,
editor = " Jacques Blanc-Talon and Dan Popescu and Wilfried Philips and David Helbert and Paul Scheunders " ,
booktitle = " Advanced Concepts for Intelligent Vision Systems - 19th International Conference, ACIVS 2018, Proceedings " ,
edition = " 1 " ,
note = " International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2018 Conference date: 24-09-2018 Through 27-09-2018 " ,
url = " http://acivs.org/acivs2018/ " ,
}