TU2.PD.14
FAST IMAGE VECTOR QUANTIZATION USING SPARSE OBLIQUE REGRESSION TREES
Rasul Kairgeldin, Miguel Á. Carreira-Perpiñán, University of California, Merced, United States
Session:
TU2.PD: Image and Video Communications 3 Poster
Track:
[IV-COM] Image and video communications
Location:
Poster Area D
Presentation Time:
Tue, 16 Sep, 10:00 - 11:30 Anchorage Time (UTC -8)
Session Chair:
Chau-Wai Wong, NC State University
Presentation
Discussion
Resources
No resources available.
Session TU2.PD
TU2.PD.1: GUIDED DETAIL FILTER FOR AVM
Khanh Quoc Dinh, Yangwoo Kim, Samsung Research, Korea (South); Madhukar Budagavi, Rajan Joshi, Samsung Research America, United States; Kwang Pyo Choi, Samsung Research, United States
TU2.PD.2: ADAPTIVE SMOOTHING OF NON-RECTANGULAR PREDICTION BLOCK EDGES IN THE WEDGE MODE OF AVM
Priyanka Das, Tim Classen, Mathias Wien, RWTH Aachen University, Germany
TU2.PD.3: DATA-DRIVEN RECURSIVE INTRA PREDICTION
Gayathri Venugopal, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand, Fraunhofer Heinrich Hertz Institute, Germany
TU2.PD.4: Combination Test of NNVC Tools and NN-Inter in VVC
Qipu Qin, Cheolkon Jung, Xidian University, China
TU2.PD.5: ANALYSIS OF CODING GAIN DUE TO IN-LOOP RESHAPING
Chau-Wai Wong, NC State University, United States; Chang-Hong Fu, Mengting Xu, Nanjing University of Science and Technology, United States; Guan-Ming Su, Dolby Laboratories, United States
TU2.PD.6: EXTENSION OF SEMI-DECOUPLED PARTITIONING IN INTER FRAMES
Liang Zhao, Madhu Krishnan, Shan Liu, Jayasingam Adhuran, Minhao Tang, Tencent Media Lab, United States; Jianle Chen, Urvang Joshi, Mohammed Sarwer, Debargha Mukerjee, Google, United States
TU2.PD.7: CODING-INFORMATION BASED IMPROVEMENT FOR IN-LOOP FILTERS BEYOND VVC
Wenbin Yin, Kai Zhang, Hongbin Liu, Li Zhang, Bytedance Inc., China
TU2.PD.8: ENHANCED FRAME CONTEXT INITIALIZATION FOR VIDEO CODING BEYOND AV1
Madhu Peringassery Krishnan, Liang Zhao, Zhipeng Dong, Tianqi Liu, Wei Kuang, Minhao Tang, Shan Liu, Tencent Media Lab, United States
TU2.PD.9: VARIABLE RATE LEARNED WAVELET VIDEO CODING USING TEMPORAL LAYER ADAPTIVITY
Anna Meyer, André Kaup, Friedrich-Alexander-University Erlangen-Nürnberg, Germany
TU2.PD.10: Frequency Aware Learned Image Compression Using Swin Transformer and Discrete Wavelet Transform
Xu Liu, Cheolkon Jung, Xidian University, China
TU2.PD.11: NEIGHBOR-AWARE FEATURE-DRIVEN MOTION COMPENSATION FOR LEARNED VIDEO COMPRESSION
Hao Lu, Qian Huang, Ziyang Yin, Zaipeng Xie, Yiming Wang, Hohai University, China
TU2.PD.12: A MULTI-LAYER END-TO-END 360 IMAGE COMPRESSION
Dayong Wang, Yubiao Zhou, Chongqing University of Posts and Telecommunications, China; Yu Sun, University of Central Arkansas, United States; Frederic Dufaux, Universite Paris-Saclay, CNRS, France; Weian Li, Guizhou Normal University, China; Hui Guo, Wuzhou University, China; Ce Zhu, University of Electronic Science and Technology of China, China
TU2.PD.13: Enhancing Learning-Based Cross-Modality Prediction for Lossless Medical Imaging Compression
Daniel S. Nicolau, Lucas A. Thomaz, Luis M. N. Tavora, Sergio M. M. Faria, Instituto de Telecomunicacoes Delegacao de Leiria, Portugal
TU2.PD.14: FAST IMAGE VECTOR QUANTIZATION USING SPARSE OBLIQUE REGRESSION TREES
Rasul Kairgeldin, Miguel Á. Carreira-Perpiñán, University of California, Merced, United States
TU2.PD.15: Compressing multi-scale features with a channel-shrinked single-branch architecture
Hanming Wang, Zijun Wu, Yunlong Li, Huifen Wang, Yuan Zhang, China Telecom Research Institute, China
Contacts