IVMSP-P7: Image and Video Communications
Poster
Tue, 5 May, 16:30 - 18:30
Location: Poster Area 16
Session Type: Poster
Track: Image, Video and Multidimensional Signal Processing [IV]
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IVMSP-P7.1: ENHANCED VOLUMETRIC VIDEO STREAMING THROUGH ANCHOR-BASED VIEWPORT PREDICTION

Ruiyang Chen, Xi Wang, Jiawei Zhang, Jing Xu, Wei Liu, The Hubei Key Laboratory of Internet of Intelligence, School of Electronics Information and Communications, Huazhong University of Science and Technology, 430074 Wuhan, China, China

IVMSP-P7.2: SCENE: SEMANTIC-AWARE CODEC ENHANCEMENT WITH NEURAL EMBEDDINGS

Han-Yu Lin, United Link Co., Ltd., Taiwan; Li-Wei Chen, National Tsing Hua University, Taiwan; Hung-Shin Lee, United Link Co., Ltd., Taiwan

IVMSP-P7.3: Semantic Token-Guided Generative Latent Coding for Ultra-Low Bitrate Image Compression

Pengfei He, Dahua Gao, Xidian University, China; Yunhao Wang, Peking University, China; Jiaxuan Li, Minxi Yang, Xidian University, China; Guangming Shi, Peng Cheng Laboratory, China

IVMSP-P7.4: ADAPTIVE VOLUMETRIC VIDEO STREAMING WITH IMAGE-BASED RENDERING

Haotian Guo, Hengzhi Wang, Shenzhen University, China; Cong Zhang, Xiaoyi Fan, Shenzhen MSU-BIT University, China; Laizhong Cui, Shenzhen University, China; Fei Richard Yu, Shenzhen University, Carleton University, China; Lei Zhang, Shenzhen University, China

IVMSP-P7.5: BHSFLOW: LOW-LATENCY FLOW ESTIMATION WITH BLOCK-WISE HUBER LOSS AND SIMPLIFIED STRUCTURE

Tianyi Sun, Yanze Wang, Runkai Chen, Yuedi Chen, Jun Sun, Peking University, China

IVMSP-P7.6: Video Hashing via Transformer and KAN for Retrieval

Likai Yang, Nianqiao Li, Yihua Chen, Zhenjun Tang, Guangxi Normal University, China

IVMSP-P7.7: LDG-PCGC: LOSSLESS DYNAMICALLY GROUPED POINT CLOUD GEOMETRY COMPRESSION

Shoukun Chen, Dayong Wang, Chongqing University of Posts and Telecommunications, China; Yu Sun, University of Central Arkansas, United States of America; Hui Guo, Wuzhou University, China; Hongwei Guo, Honghe University, China; Frederic Dufaux, Université Paris-Saclay, France

IVMSP-P7.9: CONTENT ADAPTIVE SWITCHABLE HYPERPRIOR NETWORKS FOR LEARNED IMAGE COMPRESSION

Simon Deniffel, Jürgen Seiler, André Kaup, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

IVMSP-P7.10: SFN-NET: INTEGRATING SPATIAL-FREQUENCY FEATURE FUSION INTO DEEP UNFOLDING NETWORK WITH NESTA FOR COMPRESSIVE SENSING

Tianyi Lu, Hengrui Li, Xiangming Yan, Yanfeng Wu, Lennox Wei, Shaohui Liu, harbin institute of technology, China