The Data Compression Conference (DCC) is an international forum for current work concerning data compression and related applications. The conference addresses not only compression methods for specific types of data (text, images, video, audio, medical and scientific data, graphics, web content, etc.), but also the use of techniques from information theory and data compression in networking, communications, and storage applications involving large datasets (including image and information mining, retrieval, archiving, backup, communications, and human-computer interface). Both theoretical and experimental work is of interest.
Topics of interest include but are not limited to:
Lossless and lossy compression for storage and transmission of specific types of data (including text, gray scale and color photographs, multi-spectral and hyper-spectral images, palette images, video, movies, audio, music, maps, instrument and sensor data, space data, earth observation data, scientific data, weather data, medical data, graphics data, geometry data, 3D representations, animation, bi-level images / bit-maps, web content, web graphs, etc.), source coding, source coding in multiple access networks, joint source-channel coding, rate distortion coding, rate allocation, multiple description coding, quantization theory, vector quantization (VQ), multiple description VQ, transform based methods (including DCT and wavelet transforms), parallel compression algorithms and hardware, error resilient compression techniques, adaptive compression algorithms, browsing and searching compressed data, compressed data structures, applications to immersive media, perceptual coding, visual search, object recognition, applications of neural networks (e.g. CNN's) to compression, string searching and manipulation used in compression applications, fractal based compression methods, information retrieval employing compression techniques, steganography / hidden information with respect to compressed data, minimal length encoding and applications to learning, system issues relating to data compression (including error control, data security, indexing, and browsing), compression applications and issues for computational biology and bioinformatics, compression applications and issues for the internet, compression applications and issues for mobile computing, applications of compression to file distribution and software updates, applications of compression to file storage and backup systems, applications of compression to data mining, applications of compression to image retrieval, applications of compression and information theory to human-computer interaction (HCI), development of and extensions to compression standards (including the HEVC, JPEG, MPEG, H.xxx, and G.xxx families and including compression of specific image types such as plenoptic images, point cloud images, and light field images), compressed sensing / compressive sampling, and the use of techniques from information theory and data compression in networking, communications, and storage of large data sets.
Authors will be notified via email in late December of acceptance as a paper, acceptance as a poster, or rejection. Accepted manuscripts must be submitted electronically; the due date will be in early January. The letter of acceptance will include the exact due date, directions on where and how to make the electronic submission of the final manuscript, and directions for submitting a proceedings copyright form. (Do not include a copyright form with your submission; instead, wait until your submission has been accepted and you receive directions.)
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2017
04月07日
2017
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2025年03月18日 美国 Snowbird
2025 Data Compression Conference (DCC)2024年03月19日 美国 Snowbird
2024 Data Compression Conference2023年03月21日 美国 Snowbird
2023 Data Compression Conference2022年03月22日 美国 Snowbird
2022 Data Compression Conference2021年03月23日 美国 Snowbird
2021 Data Compression Conference2019年03月26日 美国 Snowbird
2019 Data Compression Conference2018年03月27日 美国 Snowbird,USA
2018 Data Compression Conference2017年04月04日 美国 Snowbird, Utah, USA
Data Compression Conference2016年03月30日 美国 Snowbird, UT, USA
2016年数据压缩会议2015年04月07日 美国
2015年数据压缩会议
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