FP-V2.V10.5
EFFICIENT SCALABLE 360-DEGREE VIDEO COMPRESSION SCHEME USING 3D CUBOID PARTITIONING
Fariha Afsana, Manoranjan Paul, Charles Sturt University, Australia, Australia; Manzur Murshed, Federation University Australia, Australia, Australia; David Taubman, University of New South Wales, Australia, Australia
Session:
Image and Video Communications
Track:
Image and Video Communications
Location:
Gather.Town 10
Presentation Time:
Fri, 7 Oct, 22:00 - 23:00 China Standard Time (UTC +8)
Fri, 7 Oct, 16:00 - 17:00 Central European Time (UTC +1)
Fri, 7 Oct, 14:00 - 15:00 UTC
Fri, 7 Oct, 10:00 - 11:00 Eastern Time (UTC -5)
Fri, 7 Oct, 16:00 - 17:00 Central European Time (UTC +1)
Fri, 7 Oct, 14:00 - 15:00 UTC
Fri, 7 Oct, 10:00 - 11:00 Eastern Time (UTC -5)
Session Co-Chairs:
Jean-Christophe Pesquet, CentraleSupélec and Andrea Cavallaro, Queen Mary University of London and Rebecca Willett, University of Chicago
Presentation
Discussion
Resources
No resources available.
Session FP-V2.V10
FP-V2.V10.1: 3D Clues Guided Convolution for Depth Completion
Shuwen Yang, Zhichao Fu, Xingjiao Wu, Xiangcheng Du, Tianlong Ma, Liang He, East China Normal University, China
FP-V2.V10.2: DUALFEAT: DUAL FEATURE AGGREGATION FOR VIDEO OBJECT DETECTION
Jing Pan, Kaiwen Du, Yan Yan, Hanzi Wang, Xiamen University, China
FP-V2.V10.3: EXPLORING STRUCTURAL SPARSITY IN NEURAL IMAGE COMPRESSION
Shanzhi Yin, Chao Li, Wen Tan, Yongsheng Liang, Harbin Institute of Technology, Shenzhen, China; Fanyang Meng, PengCheng Laboratory, China; Youneng Bao, Harbin Institute of technology, Shenzhen, China; Wei Liu, Shenzhen Institute of Information Technology, China
FP-V2.V10.4: DYNAMIC MULTI-REFERENCE GENERATIVE PREDICTION FOR FACE VIDEO COMPRESSION
Zhao Wang, Bolin Chen, Yan Ye, Alibaba Group, China; Shiqi Wang, City University of Hong Kong, Hong Kong
FP-V2.V10.5: EFFICIENT SCALABLE 360-DEGREE VIDEO COMPRESSION SCHEME USING 3D CUBOID PARTITIONING
Fariha Afsana, Manoranjan Paul, Charles Sturt University, Australia, Australia; Manzur Murshed, Federation University Australia, Australia, Australia; David Taubman, University of New South Wales, Australia, Australia
FP-V2.V10.6: BREAKPOINT DEPENDENT SCALABLE CODING OF OPTICAL FLOW VOLUME
Reji Mathew, David Taubman, UNSW, Australia
FP-V2.V10.7: RECOGNITION-AWARE DEEP VIDEO COMPRESSION FOR REMOTE SURVEILLANCE
Florian Beye, Hayato Itsumi, Charvi Vitthal, Koichi Nihei, NEC, Japan
FP-V2.V10.8: CNN-BASED FAST CU PARTITIONING ALGORITHM FOR VVC INTRA CODING
Jun Xu, Guoqing Wu, Chen Zhu, Yan Huang, Li Song, Shanghai Jiao Tong University, China
FP-V2.V10.9: TEXTURE-GUIDED END-TO-END DEPTH MAP COMPRESSION
Bo Peng, Yuying Jing, Dengchao Jin, Xiangrui Liu, Zhaoqing Pan, Jianjun Lei, Tianjin University, China
FP-V2.V10.10: GEOMETRY PARTITIONING WITH MOTION VECTOR DIFFERENCE FOR VIDEO CODING
Zhipin Deng, Kai Zhang, Li Zhang, Bytedance Inc., China
FP-V2.V10.11: ENTROPY-REDUCED ATTENTION FOR IMAGE COMPRESSION
Feng Wang, Jingyi Chen, Ronggang Wang, Peking University, China
FP-V2.V10.12: Towards Lightweight Neural Network-based Chroma Intra Prediction for Video Coding
Chengyi Zou, Shuai Wan, Tiannan Ji, Northwestern Polytechnical University, China; Marta Mrak, Marc Gorriz Blanch, British Broadcasting Corporation, United Kingdom of Great Britain and Northern Ireland; Luis Herranz, Computer Vision Center, Spain
FP-V2.V10.13: SFIC: SPARSITY-DRIVEN FACIAL IMAGE COMPRESSION NETWORK
Fangyuan Gao, Xin Deng, Tie Liu, Mai Xu, Beihang University, China
FP-V2.V10.14: AN OPEN DATASET FOR VIDEO CODING FOR MACHINES STANDARDIZATION
Wen Gao, Xiaozhong Xu, Matthew Qin, Shan Liu, Tencent, United States of America