| 2024 | A Diffusion Model Based Quality Enhancement Method for HEVC Compressed Video. Zheng Liu, Honggang Qi |
| 2024 | A Dynamic Point Cloud Dataset for MPEG Point Cloud Compression and Performance Analysis. Lili Zhao, Qian Yin, Lancao Ren, Lei Yang, Chuanmin Jia, Siwei Ma |
| 2024 | A Fast Four-Parameter Affine Motion Compensation Algorithm for Video Coding. Jiacheng Wu, Jiaqi Zhang, Ivan V. Bajic, Shanshe Wang, Songlin Sun |
| 2024 | A Modified Levenberg-Marquardt Algorithm For Tensor CP Decomposition in Image Compression. Ramin Goudarzi Karim, Dipak Dulal, Carmeliza Navasca |
| 2024 | A Neural Enhancement Post-Processor with a Dynamic AV1 Encoder Configuration Strategy for CLIC 2024. Darren Ramsook, Anil C. Kokaram |
| 2024 | A Neural-network Enhanced Video Coding Framework beyond ECM. Yanchen Zhao, Wenxuan He, Chuanmin Jia, Qizhe Wang, Junru Li, Yue Li, Chaoyi Lin, Kai Zhang, Li Zhang, Siwei Ma |
| 2024 | A Non-reference Just Recognized Distortion Prediction Framework for Object Detection Task. Yichen Liu, Haibing Yin, Hongkui Wang, Xia Wang, Lida Yin |
| 2024 | A Preprocessing Framework for Video Machine Vision under Compression. Fei Zhao, Mengxi Guo, Shijie Zhao, Junlin Li, Li Zhang, Xiaodong Xie |
| 2024 | A Saliency Map Approach to Optimize VMAF for Video and Image Compression. Lin Zheng, Jingning Han, Yaowu Xu |
| 2024 | A Video Coding Method Based on Neural Network for CLIC2024. Zhengang Li, Jingchi Zhang, Yonghua Wang, Xing Zeng, Zhen Zhang, Yunlin Long, Menghu Jia, Ning Wang |
| 2024 | AI-ready image compression for whole-slide images using bottleneck tensor compression. Fernando Cervantes-Sanchez, Seamus Mawe, J. Matthew Mahoney |
| 2024 | Accelerating Block-level Rate Control for Learned Image Compression. Muchen Dong, Ming Lu, Zhan Ma |
| 2024 | Almost Lossless Onion Peeling Data Compression. Siming Sun, Michelle Effros |
| 2024 | An Audio-video Collaborative JND Estimation Model for Multimedia Data. Ning Sheng, Haibing Yin, Hongkui Wang, Xia Wang |
| 2024 | An Improvement to Subblock-based Temporal Motion Vector Prediction Beyond VVC. Ru-Ling Liao, Jie Chen, Yan Ye, Xinwei Li |
| 2024 | An experimental sorting method for improving metagenomic data encoding. Diogo Pratas, Armando J. Pinho |
| 2024 | An imperceptible adversarial attack against reconstruction for learned image compression. Jingui Ma, Ronggang Wang |
| 2024 | Another virtue of wavelet forests. Aaron Hong, Christina Boucher, Travis Gagie, Yansong Li, Norbert Zeh |
| 2024 | Asymmetric Motion Vector Refinement for Future Video Coding. Yunrui Jian, Yue Huang, Zhenan Lin, Meng Lei, Yi Xue, Lei Guo, Chao Zhou |
| 2024 | Asynchronous Random Access Data Compression. Siming Sun, Michelle Effros |
| 2024 | BHSE-VQA: A Bidirectional Hierarchical Semantic Extraction Structure for Video Quality Assessment. Longbin Mo, Haibing Yin, Hongkui Wang, Xia Wang, Lida Yin, Tiansong Li |
| 2024 | Coding Optimization for Cloud Gaming Videos Based on Three-dimensional Image Warping. Yifan Wang, Shuyun Yang, Wei Zhang, Fuzheng Yang |
| 2024 | Compressed Consecutive Pattern Matching Pawel Gawrychowski, Garance Gourdel, Tatiana Starikovskaya, Teresa Anna Steiner |
| 2024 | Computation over APT Compressed Data. Avivit Levy, Dana Shapira |
| 2024 | Computing LZ78-Derivates with Suffix Trees. Dominik Köppl |
| 2024 | Conditional Neural Video Coding with Spatial-Temporal Super-Resolution. Henan Wang, Xiaohan Pan, Runsen Feng, Zongyu Guo, Zhibo Chen |
| 2024 | Construction of Fast Data-driven Transforms for Image Compression via Multipath Coordinate Descent on Orthogonal Matrix Manifold. Dilshan Morawaliyadda, Pradeepa Yahampath |
| 2024 | Cool-Chic: Perceptually Tuned Low Complexity Overfitted Image Coder. Théo Ladune, Pierrick Philippe, Gordon Clare, Félix Henry, Thomas Leguay |
| 2024 | Cool-chic video: Learned video coding with 800 parameters. Thomas Leguay, Théo Ladune, Pierrick Philippe, Olivier Déforges |
| 2024 | Copy models for protein sequence compression. Armando J. Pinho, Diogo Pratas |
| 2024 | Data Compression Conference, DCC 2024, Snowbird, UT, USA, March 19-22, 2024 Ali Bilgin, James E. Fowler, Joan Serra-Sagristà, Yan Ye, James A. Storer |
| 2024 | Decoder-side Secondary Transform Derivation for Video Coding beyond AVS3. Yuhuai Zhang, Huiwen Ren, Xin Liu, Lu Zhao, Shiqi Wang, Siwei Ma |
| 2024 | Deep Video Compression Based on Key Objectives. Tianyu Gong, Ye Zhong, Huihui Bai |
| 2024 | Denser High-Order Fibonacci Codes. Shmuel T. Klein, Dana Shapira |
| 2024 | Distortion-Controlled Dithering with Reduced Recompression Rate. Morriel Kasher, Michael Tinston, Predrag Spasojevic |
| 2024 | Domain Adaptation for Learned Image Compression with Supervised Adapters. Alberto Presta, Gabriele Spadaro, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto |
| 2024 | Dynamic point cloud compression with spatio-temporal transformer-style modeling. Yichen Zhou, Xinfeng Zhang, Xiaoqi Ma, Yingzhan Xu, Kai Zhang, Li Zhang |
| 2024 | ED: Perceptually tuned Enhanced Compression Model. Pierrick Philippe, Théo Ladune, Stéphane Davenet, Thomas Leguay |
| 2024 | Efficient Neural Clustering and Compression of Strings Through Approximate Euclidean Embeddings of the Levenshtein Distance. Ünsal Öztürk, Utku Görkem Ertürk, Simone Casale-Brunet, Paolo Ribeca, Marco Mattavelli |
| 2024 | Efficient Sorting Suffixes of Big Alphabets. Ge Nong, Sen Zhang |
| 2024 | Enabling Translatability of Generative Face Video Coding: A Unified Face Feature Transcoding Framework. Shanzhi Yin, Bolin Chen, Shiqi Wang, Yan Ye |
| 2024 | End-to-End Learned Scalable Multilayer Feature Compression for Machine Vision Tasks. Qiaoxi Chen, Changsheng Gao, Dong Liu |
| 2024 | Entropy Relaxed Lattice Vector Quantization for Learned Image Compression. Maida Cao, Wenrui Dai, Shaohui Li, Han Li, Chenglin Li, Junni Zou, Hongkai Xiong |
| 2024 | Exploring Bitrate Costs for Enhanced User Satisfaction: A Just Noticeable Difference (JND) Perspective. Hadi Amirpour, Jingwen Zhu, Raimund Schatz, Patrick Le Callet, Christian Timmerer |
| 2024 | Extending the Parameterized Burrows-Wheeler Transform. Eric M. Osterkamp, Dominik Köppl |
| 2024 | Extracting Region Function Representations through Compressed Trajectory Embeddings. Chunyu Liu, Hongli Zhang, Haotian Guan, Jiayu Zhang |
| 2024 | Extreme Image Compression Using Fine-tuned VQGANs. Qi Mao, Tinghan Yang, Yinuo Zhang, Zijian Wang, Meng Wang, Shiqi Wang, Libiao Jin, Siwei Ma |
| 2024 | Faster Maximal Exact Matches with Lazy LCP Evaluation. Adrián Goga, Lore Depuydt, Nathaniel K. Brown, Jan Fostier, Travis Gagie, Gonzalo Navarro |
| 2024 | Faster Wavelet Tree Queries. Matteo Ceregini, Florian Kurpicz, Rossano Venturini |
| 2024 | Generative Face Video Coding Techniques and Standardization Efforts: A Review. Bolin Chen, Jie Chen, Shiqi Wang, Yan Ye |
| 2024 | Geometric Partitioning Mode with Affine Prediction in Video Coding. Kai Zhang, Zhipin Deng, Li Zhang |
| 2024 | Graph-Structured Swin-Transformer for Learned Image Compression. Lilong Wang, Yunhui Shi, Jin Wang, Baocai Yin, Nam Ling |
| 2024 | Guaranteeing Error Bounds with Preservation of Derived Quantities in Compressive Autoencoders. Jaemoon Lee, Anand Rangarajan, Sanjay Ranka |
| 2024 | Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications. Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka |
| 2024 | Hybrid Local-Global Context Learning for Neural Video Compression. Yongqi Zhai, Jiayu Yang, Wei Jiang, Chunhui Yang, Luyang Tang, Ronggang Wang |
| 2024 | ITR: Grammar-based graph compression supporting fast triple queries. Enno Adler, Stefan Böttcher, Rita Hartel |
| 2024 | Initialization Seeds Facilitating Neural Network Quantization. Wen Fei, Li Ding, Yu Pan, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong |
| 2024 | Inter Cross-Component Prediction Merge Mode for Video Coding beyond VVC. Zhipin Deng, Kai Zhang, Li Zhang |
| 2024 | Intra Template Matching Prediction with Fusion Techniques. Fangjun Pu, Taoran Lu, Peng Yin, Sean McCarthy, Jeeva Raj Arumugam, Ashwin Natesan, Vaibhav Valvaiker, Jay N. Shingala, Xinwei Li, Ru-Ling Liao, Jie Chen, Yan Ye, Fan Wang, Lai Zhang, Yue Yu, Haoping Yu, Dong Wang |
| 2024 | JPEG Quantization Table Optimization Via Multi-objective Evolutionary Algorithm Based on Decomposition. Mingshan Qian, Hongyan Wei, Qijun Wang |
| 2024 | Judging a video by its bitstream cover. Yuxing Han, Yunan Ding, Chen Ye Gan, Jiangtao Wen |
| 2024 | LICO: An Effective, High-Speed, Lossless Compressor for Images. Noushin Azami, Rain Lawson, Martin Burtscher |
| 2024 | LRCB: A Comprehensive Benchmark Evaluation of Reference-free Lossless Compression Tools for Genomics Sequencing Long Reads Data. Hui Sun, Huidong Ma, Yingfeng Zheng, Haonan Xie, Meng Yan, Cheng Zhong, Xiaoguang Liu, Gang Wang |
| 2024 | Learned Image Compression using Transformer and Residual Network for Effective Handling of High-and Low-Frequency Information. Jianhua Hu, Guixiang Luo, Xiangfei Feng, Zhanjiang Yuan, Jiahui Yang, Wei Nie |
| 2024 | Learned Image Compression with Dual-Branch Encoder and Conditional Information Coding. Haisheng Fu, Feng Liang, Jie Liang, Zhenman Fang, Guohe Zhang, Jingning Han |
| 2024 | Leveraging Conv-Attention for Efficient and High-Quality JPEG AI Image Coding. Meng Wang, Semih Esenlik, Zhaobin Zhang, Yaojun Wu, Kai Zhang, Li Zhang, Shiqi Wang |
| 2024 | Light-weight Steganography for HPC Lossy Compression. Ruiwen Shan, Jon C. Calhoun |
| 2024 | Lightweight super resolution network for point cloud geometry compression. Wei Zhang, Dingquan Li, Ge Li, Wen Gao |
| 2024 | MUSCON: Multi-scale Sparse Conv Learning for Point Cloud Attributes Deblocking. Muhammad Talha, Birendra Kathariya, Zhu Li, Geert Van der Auwera |
| 2024 | Machete: An Efficient Lossy Floating-Point Compressor Designed for Time Series Databases. Yang Shi, Xiangyu Zou, Xinyu Chen, Sian Jin, Dingwen Tao, Cai Deng, Yufan Chen, Wen Xia |
| 2024 | Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image Models. Dan Jacobellis, Daniel Cummings, Neeraja J. Yadwadkar |
| 2024 | Neural Compression for AI Foundation Model Generated Images: Evaluation and Benchmark. Xunxu Duan, Hongbin Liu, Li Zhang, Chuanmin Jia |
| 2024 | On Ultra Low-Delay Compression of Higher Order Ambisonics Signals. Mahmoud Namazi, Ahmed Elshafiy, Kenneth Rose |
| 2024 | On the Hardness of Smallest RLSLPs and Collage Systems. Akiyoshi Kawamoto, Tomohiro I, Dominik Köppl, Hideo Bannai |
| 2024 | Optimal Transcoding Resolution Prediction for Efficient Per-Title Bitrate Ladder Estimation. Jinhai Yang, Mengxi Guo, Shijie Zhao, Junlin Li, Li Zhang |
| 2024 | Overfitted Neural Networks for Block-based Intra-prediction. Victor Sanchez |
| 2024 | PDNet: Parallel Dual-branch Network for Point Cloud Geometry Compression and Analysis. Liang Xie, Wei Gao, Songlin Fan, Zhaojian Yao |
| 2024 | Perceptual-oriented Learned Image Compression with Dynamic Kernel. Nianxiang Fu, Junxi Zhang, Huairui Wang, Zhenzhong Chen |
| 2024 | Performance Exploration of Jointly Rate-Distortion Optimized HEVC Intra Encoder. Yingwen Zhang, Meng Wang, Junru Li, Shiqi Wang |
| 2024 | Precision-preserving Compression of Scientific Data: Learn Mechanism from Data. Xinyue Luo, Jin Cheng, Zhaoyi Sun, Yu Chen |
| 2024 | Progressive Feature Fusion Network for Enhancing Image Quality Assessment. Kaiqun Wu, Xiaoling Jiang, Rui Yu, Yonggang Luo, Tian Jiang, Xi Wu, Peng Wei |
| 2024 | Quantization of Content-adaptive Orthonormal Transforms using a Gauss-Markov Random Field Model for Images. Rashmi Boragolla, Pradeepa Yahampath |
| 2024 | Rank and Select on Degenerate Strings. Philip Bille, Inge Li Gørtz, Tord Stordalen |
| 2024 | Reconstruction Distortion of Learned Image Compression with Imperceptible Perturbations. Yang Sui, Zhuohang Li, Ding Ding, Xiang Pan, Xiaozhong Xu, Shan Liu, Zhenzhong Chen |
| 2024 | Reference-Based Encoding for Dynamic Data: Enabling Direct Modification in Compressed Format. Biao Wang, Yun Xu |
| 2024 | Residual Block Fusion in Low Complexity Neural Network-Based In-loop Filtering for Video Compression. Tong Shao, Jay N. Shingala, Ajay Shyam, Peng Yin, Ajat Suneja, Siddarth P. Badya, Arjun Arora, Sean McCarthy |
| 2024 | Rethinking the Joint Optimization in Video Coding for Machines: A Case Study. Changsheng Gao, Zhuoyuan Li, Li Li, Dong Liu, Feng Wu |
| 2024 | SLIC: A Learned Image Codec Using Structure and Color. Srivatsa Prativadibhayankaram, Mahadev Prasad Panda, Thomas Richter, Heiko Sparenberg, Siegfried Fößel, André Kaup |
| 2024 | SSNVC: Single Stream Neural Video Compression with Implicit Temporal Information. Feng Wang, Haihang Ruan, Zhihuang Xie, Ronggang Wang, Xiangyu Yue |
| 2024 | Selective Run-Length Encoding. Xutan Peng, Yi Zhang, Dejia Peng, Jiafa Zhu |
| 2024 | Semantic-Aware Visual Decomposition for Point Cloud Geometry Compression. Liang Xie, Wei Gao, Huiming Zheng, Hua Ye |
| 2024 | Sketching and Streaming for Dictionary Compression. Ruben Becker, Matteo Canton, Davide Cenzato, Sung-Hwan Kim, Bojana Kodric, Nicola Prezza |
| 2024 | Space-Efficient Data Structures for Polyominoes and Bar Graphs. Magnus Berg, Shahin Kamali, Katherine Ling, Cooper Sigrist |
| 2024 | Standard Compatible Efficient Video Coding with Jointly Optimized Neural Wrappers. Yueyu Hu, Chenhao Zhang, Onur G. Guleryuz, Debargha Mukherjee, Yao Wang |
| 2024 | Static-Scene Video Compression with Neural Radiance Fields. Runyu Yang, Dong Liu, Feng Wu, Wen Gao |
| 2024 | Succinct Data Structure for Graphs with d-Dimensional t-Representation. Girish Balakrishnan, Sankardeep Chakraborty, Seungbum Jo, N. S. Narayanaswamy, Kunihiko Sadakane |
| 2024 | Succinct Data Structures for Bounded Degree/Chromatic Number Interval Graphs. Meng He, J. Ian Munro, Kaiyu Wu |
| 2024 | Succinct Data Structures for Path Graphs and Chordal Graphs Revisited. Meng He, J. Ian Munro, Kaiyu Wu |
| 2024 | Super Resolution with Luma Component Enhancement for Down-up Sampling Based Video Coding in VVC. Jiedong Ye, Qinglin Zhou, Qiong Liu, Kejun Wu, Xu Li, Yiqing Zhu, Chuan Zhou |
| 2024 | SuperDelta: Multiple Referenced Base Chunks Scheme for Fine-grained Deduplication Backup Storage System. Haoliang Tan, Xiangyu Zou, Binzhaoshuo Wan, Zhaoquan Gu, Wen Xia |
| 2024 | The Multiplane Image Information SEI Message and its Use for Distribution of Volumetric Video with Conventional Codecs. Taoran Lu, Peng Yin, Guan-Ming Su, Dae Yeol Lee, Tsung-Wei Huang, Sejin Oh, Sean McCarthy, Walt Husak, Gary J. Sullivan |
| 2024 | Towards Optimal Grammars for RNA Structures. Evarista Onokpasa, Sebastian Wild, Prudence W. H. Wong |
| 2024 | Transferable Learned Image Compression-Resistant Adversarial Perturbations. Yang Sui, Zhuohang Li, Ding Ding, Xiang Pan, Xiaozhong Xu, Shan Liu, Zhenzhong Chen |
| 2024 | Two-stage Multiple-Model Compression Approach for Sampled Electrical Signals. Corentin Presvôts, Michel Kieffer, Thibault Prevost, Patrick Panciatici, Zuxing Li, Pablo Piantanida |
| 2024 | UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding. Jiayu Yang, Wei Jiang, Yongqi Zhai, Chunhui Yang, Ronggang Wang |
| 2024 | Using Machine Learning to Predict Effective Compression Algorithms for Heterogeneous Datasets. Brandon Alexander Burtchell, Martin Burtscher |
| 2024 | Valid Information Guidance Network for Compressed Video Quality Enhancement. Xuan Sun, Ziyue Zhang, Guannan Chen, Zhanfu An, Yuyu Liu |
| 2024 | Value-Compressed Sparse Column (VCSC): Sparse Matrix Storage for Redundant Data. Skyler Ruiter, Seth Wolfgang, Marc A. Tunnell, Timothy Triche Jr., Erin Carrier, Zachary J. DeBruine |
| 2024 | Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets. Fatih Kamisli, Fabien Racapé, Hyomin Choi |
| 2024 | Variable-Rate Point Cloud Geometry Compression Based on Feature Adjustment and Interpolation. Zhiyang Qi, Wei Gao |
| 2024 | Variable-rate Neural Speech Compression with Multi-scale Feature Extraction and Improved Entropy Modeling. Shaohan Sun, Yuzhuo Kong, Tong Chen, Zhan Ma |
| 2024 | Video Quality Assessment Based on Swin TransformerV2 and Coarse to Fine Strategy. Zihao Yu, Fengbin Guan, Yiting Lu, Xin Li, Zhibo Chen |
| 2024 | When Dynamic Neural Network Meets Point Cloud Compression: Computation-Aware Variable Rate and Checkerboard Context. Zhuozhen Yu, Wei Gao |
| 2024 | Word-Based Forward Coding. Igor Zavadskyi, Shmuel T. Klein, Dana Shapira |
| 2024 | triaGeD: using compression for anomaly detection. Francesco Taurone, Jonas Dorsch, Daniel E. Lucani, Qi Zhang |
| 2024 | τλ-Index: Locating Rare Patterns in Similar Strings. Long-Qi Chen, Che-Wei Tsao, Jin Jie Deng, Wing-Kai Hon, Kunihiko Sadakane |