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ORCIDPCS 2022: San Jose, CA, USA
- Picture Coding Symposium, PCS 2022, San Jose, CA, USA, December 7-9, 2022. IEEE 2022, ISBN 978-1-6654-9257-7
- Ibrahim Farhat, Wassim Hamidouche
, Adrien Grill, Daniel Ménard, Olivier Déforges:
Efficient HW Design of Adaptive Loop Filter for 4k ASIC VVC Encoder. 1-5 - Jiovana Sousa Gomes, Tulio Pereira Bitencourt, Sergio Bampi, Fábio Luís Livi Ramos:
Area and Power Efficient 8K Real-Time Design for AV1 Arithmetic Decoding. 7-11 - Matthias Kränzler, André Kaup, Christian Herglotz:
Advanced Design Space Exploration for Joint Energy and Quality optimization for VVC. 13-17 - Geetha Ramasubbu, André Kaup, Christian Herglotz:
A Bit Stream Feature-Based Energy Estimator for HEVC Software Encoding. 19-23 - Tulio Pereira Bitencourt, Fábio Luís Livi Ramos, Sergio Bampi:
Power-Throughput Trade-off Analysis for a Novel Multi-Boolean AV1 Arithmetic Encoder Design. 25-29 - O. Ugur Ulas, A. Murat Tekalp:
Flexible luma-chroma bit allocation in learned image compression for high-fidelity sharper images. 31-35 - Shima Mohammadi, João Ascenso:
Perceptual impact of the loss function on deep-learning image coding performance. 37-41 - Haisheng Fu, Feng Liang, Jie Liang, Binglin Li, Guohe Zhang, Jiangning Han:
Learned Image Compression with Inception Residual Blocks and Multi-Scale Attention Module. 43-47 - Panqi Jia, Ahmet Burakhan Koyuncu, Georgii Gaikov, Alexander Karabutov, Elena Alshina, André Kaup:
Learning-Based Conditional Image Coder Using Color Separation. 49-53 - Donghui Feng, Chen Zhu, Guo Lu, Li Song:
Position-based Motion Vector Prediction for Textual Image Coding. 55-59 - Oussama Jourairi, Muhammet Balcilar, Anne Lambert, François Schnitzler:
Improving The Reconstruction Quality by Overfitted Decoder Bias in Neural Image Compression. 61-65 - Pedro Gomes, Silvia Rossi, Laura Toni:
Explaining Hierarchical Features in Dynamic Point Cloud Processing. 67-71 - Zhihao Duan, Ming Lu, Zhan Ma, Fengqing Zhu:
Opening the Black Box of Learned Image Coders. 73-77 - Keisuke Kaji, Yasuyo Kita, Ichiro Matsuda, Susumu Itoh, Yusuke Kameda:
Enhancement of CNN-based Probability Modeling by Locally Trained Adaptive Prediction for Efficient Lossless Image Coding. 79-83 - Darren Ramsook, Anil C. Kokaram, Neil Birkbeck, Yeping Su, Balu Adsumilli:
A Deep Learning post-processor with a perceptual loss function for video compression artifact removal. 85-89 - Wang-Q Lim, Björn Stallenberger, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Performance-Complexity Analysis of Adaptive Loop Filter with a CNN-based Classification. 91-95 - Xiao Wang, Ding Ding, Wei Jiang, Wei Wang, Xiaozhong Xu, Shan Liu, Brian Kulis, Peter Chin:
Substitutional Neural Image Compression. 97-101 - Yue Li, Li Zhang, Jizheng Xu, Kai Zhang:
Overview of Grand Challenge on Neural Network-based Video Coding in ISCAS 2022. 103-107 - Benjamin Lukas Cajus Barzen, Fedor Glazov, Jonas Geistert, Thomas Sikora:
Accelerated Deep Lossless Image Coding with Unified Paralleleized GPU Coding Architecture. 109-113 - Muhammet Balcilar, Bharath Bhushan Damodaran, Pierre Hellier:
Reducing The Amortization Gap of Entropy Bottleneck In End-to-End Image Compression. 115-119 - Thibaut Meyer, Maria Meyer, Dominik Mehlem, Christian Rohlfing:
Attribute-aware Partitioning for Graph-based Point Cloud Attribute Coding. 121-125 - Yueyu Hu, Yao Wang:
Learning Neural Volumetric Field for Point Cloud Geometry Compression. 127-131 - Chao Huang, Xiang Zhang, Jun Tian, Xiaozhong Xu, Shan Liu:
Boundary-Preserved Geometry Video for Dynamic Mesh Coding. 133-137 - Haoran Hong, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka:
Motion Estimation And Filtered Prediction For Dynamic Point Cloud Attribute Compression. 139-143 - Zhecheng Wang, Shuai Wan, Lei Wei:
Logistic Regression Guided Coding of Single Child Mode for Point Cloud Geometry Compression. 145-149 - Esin Koyuncu, Timofey Solovyev, Elena Alshina, André Kaup:
Device Interoperability for Learned Image Compression with Weights and Activations Quantization. 151-155 - Xining Wang, Ming Lu, Zhan Ma:
Block-Level Rate Control for Learnt Image Coding. 157-161 - Chih Hsuan Lin, Yi-Hsin Chen, Wen-Hsiao Peng:
Content-Adaptive Motion Rate Adaption For Learned Video Compression. 163-167 - Sophie Pientka, Michael Schäfer, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Deep video coding with gradient-descent optimized motion compensation and Lanczos filtering. 169-173 - Onur G. Guleryuz, Philip A. Chou, Hugues Hoppe, Danhang Tang, Ruofei Du, Philip Davidson, Sean Fanello:
Sandwiched Image Compression: Increasing the resolution and dynamic range of standard codecs. 175-179 - Jinming Liu, Heming Sun, Jiro Katto:
Semantic Segmentation In Learned Compressed Domain. 181-185 - Zhihao Duan, Fengqing Zhu:
Efficient Feature Compression for Edge-Cloud Systems. 187-191 - Zhongpeng Zhang, Ying Liu:
Side Information Driven Image Coding for Machines. 193-197 - Alon Harell, Anderson de Andrade, Ivan V. Bajic:
Rate-Distortion in Image Coding for Machines. 199-203 - Bardia Azizian, Ivan V. Bajic:
Privacy-Preserving Feature Coding for Machines. 205-209 - Hongji Zeng, Yuhang Huang, Tiesong Zhao, Ludi Wu, Weize Feng, Guowei Cai:
Effective VVC Intra Prediction Based on Ensemble Learning. 211-215 - Chen Zhu, Guo Lu, Rong Xie, Li Song:
Perceptual Video Coding Based on Semantic-Guided Texture Detection and Synthesis. 217-221 - Henan Wang, Hanxin Zhu, Zhibo Chen:
Light Field Compression Based on Implicit Neural Representation. 223-227 - Luge Wang, Xionghui Mao, Saiping Zhang, Fuzheng Yang:
End-to-End Quality Controllable Image Compression. 229-233 - Xiaoxuan Fan, Wen Fei, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong:
Tensor Network-Based Entropy Coding For Learned Image Compression. 235-239 - Christian R. Helmrich, Christian Bartnik, Jens Brandenburg, Valeri George, Tobias Hinz, Christian Lehmann, Ivan Zupancic, Adam Wieckowski, Benjamin Bross, Detlev Marpe:
A Scene Change and Noise Aware Rate Control Method for VVenC, An Open VVC Encoder Implementation. 241-245 - Adam Wieckowski, Tobias Hinz, Christian R. Helmrich, Benjamin Bross, Detlev Marpe:
An Optimized Temporal Filter Implementation for Practical Applications. 247-251 - Vignesh V. Menon, Hadi Amirpour, Prajit T. Rajendran, Mohammed Ghanbari, Christian Timmerer:
Content-adaptive Encoder Preset Prediction for Adaptive Live Streaming. 253-257 - Gustavo Rehbein, Isis Bender, Guilherme Corrêa, Luciano Agostini, Marcelo Schiavon Porto:
Multi-Objective optimized Complexity Control for the AV1 Video Encoder. 259-263 - Angeliki Katsenou, Jingwei Mao, Ioannis Mavromatis:
Energy-Rate-Quality Tradeoffs of State-of-the-Art Video Codecs. 265-269 - Wei Kuang, Xiang Li, Xin Zhao, Shan Liu:
Unified Fast Partitioning Algorithm for Intra and Inter Predictions in Versatile Video Coding. 271-275 - Kai Zhang, Li Zhang, Zhipin Deng:
Self-Aware Filter Estimation For Cross-Component Linear Model Intra-Prediction In Video Coding. 277-281 - Duolikun Danier, Fan Zhang, David Bull:
FloLPIPS: A Bespoke Video Quality Metric for Frame Interpolation. 283-287 - Fabian Brand, Jürgen Seiler, André Kaup:
On Benefits and Challenges of Conditional Interframe Video Coding in Light of Information Theory. 289-293 - Wenxuan Gao, Chenglin Li, Haoran Lv, Wenrui Dai, Junni Zou, Hongkai Xiong, Xinlong Pan, Haipeng Wang:
Optimal Tile-Based Encoding for 360-Degree Video Streaming. 295-299 - Yingbin Wang, Xin Zhao, Xiaozhong Xu, Shan Liu, Zhijun Lei, Mariana Afonso, Andrey Norkin, Thomas Daede:
An Open Video Dataset For Screen Content Coding. 301-305 - Buddhiprabha Erabadda, Gosala Kulupana, Thanuja Mallikarachchi, Wenwu Wang, Anil Fernando:
A Hybrid Approach to Blind Video Quality Prediction of User Generated Content. 307-311 - Jingwen Zhu, Anne-Flore Perrin, Patrick Le Callet:
Subjective test methodology optimization and prediction framework for Just Noticeable Difference and Satisfied User Ratio for compressed HD video. 313-317 - Glenn Van Wallendael, Peter Lambert, Pieter-Jan Speelmans, Hannes Mareen:
Mixed-Resolution HESP for More Efficient Fast Channel Switching and Packet-Loss Repair. 319-323 - Ahmed Telili, Wassim Hamidouche, Sid Ahmed Fezza, Luce Morin:
Benchmarking Learning-based Bitrate Ladder Prediction Methods for Adaptive Video Streaming. 325-329 - Tushar Shankar Shinde:
Adaptive Pixel-based Direction Oriented Fast Motion Estimation for Predictive Coding. 331-335 - Ashek Ahmmed, Wassim Hamidouche, Andrew J. Lambert, Mark Pickering, M. Manzur Murshed:
Discrete Cosine Basis Oriented Motion Modeling With Cuboidal Applicability Regions For Versatile Video Coding. 337-341 - Marta Milovanovic, Félix Henry, Marco Cagnazzo:
Depth Patch Selection for Decoder-Side Depth Estimation in MPEG Immersive Video. 343-347 - Pengli Du, Ying Liu, Nam Ling, Yongxiong Ren, Lingzhi Liu:
Generative Video Compression with a Transformer-Based Discriminator. 349-353 - Andrey Norkin:
Generalized deblocking filter for AVM. 355-359 - Bharath Vishwanath, Kai Zhang, Li Zhang:
A Cross-Component Prediction Model For Screen Content Coding. 361-365 - Liqiang Wang, Xiaozhong Xu, Shan Liu:
Optimize neural network based in-loop filters through iterative training. 367-371 - Birendra Kathariya, Zhu Li, Hongtao Wang, Mohammad Coban:
Multi-Stage Spatial and Frequency Feature Fusion using Transformer in CNN-Based In-Loop Filter for VVC. 373-377 - Amir Said, Manish Kumar Singh, Reza Pourreza:
Differentiable bit-rate estimation for neural-based video codec enhancement. 379-383 - Chen Wang, Xin Jin, Huanbang Chen, Haitao Yang, Kedeng Tong, Yuqing Yang:
Piecewise Linear Model Based Local Illumination Compensation Inter Prediction for Video Coding. 385-389
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