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DCC 2022

DCC 2022 Conference - The Data Compression Conference (DCC) is an international forum for current work on data compression and related applications. Both theoretical and experimental work are of interest. Visit the DCC 2022 website.

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Compressing the Tree of Canonical Huffman Coding
Semantic Neural Rendering-based Video Coding: Towards Ultra-Low Bitrate Video Conferencing
Pathology Image Compression Based on JPEG2000, Multi-Resolutional Human Perception and the Region of Interest Predictions
Coarse-to-fine Prediction With Local and Nonlocal Correlations for Intra Coding
An Entropy Coding Based on Binary Encoding for Mixed-Radix Digits
Attribute-Decomposable Motion Compression Network for 3D MoCap Data
Mixed Huffman codes for on-line and off-line applications
A Low-complexity Neural Network for Compressed Video Post-processing in HEVC
Binary-Coded Ternary Number Representation in Natural Language Text Compression
Improved Deep Image Compression with Joint Optimization of Cross Channel Context Model And Generalized Loop Filter
A New Parametric Coding Method Combined Linear Microphone Array Topology
DNN-based Multi-Channel Speech Coding Employing Sound Localization
Chunk Content is not Enough: Chunk-Context Aware Resemblance Detection for Deduplication Delta Compression
HOLZ: High-Order Entropy Encoding of Lempel-Ziv Factor Distances
Computing Lexicographic Parsings
Fast Coding of Haar Wavelet Trees
Keyframe Insertion for Fast Channel Switching & Packet-Loss Repair in Low-Delay Live Streaming
An Improved Multi-reference Frame Loop Filter Algorithm Based on Transformer for VVC
A fast geometric prediction merge mode decision algorithm based on CU gradient for VVC
Jointly Training of Binary 3D CNN Features for Action Recognition

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