DCC 2021 : Data Compression Conference

  in Conferences   Posted on June 19, 2020

Conference Information

Submission Deadline Monday 09 Nov 2020 Proceedings indexed by :
Conference Dates Mar 23, 2021 - Mar 26, 2021
Conference Address Cliff Lodge, United States
Conference & Submission Link https://www.cs.brandeis.edu/~dcc/index.html
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Impact Score 2.48
#Contributing Top Scientists 22
#Papers published by Top Scientists 56
Google Scholar H5-index 8
Guide2Research Overall Ranking: 331
Category Rankings
Networks and Communications 86
Databases & Information Systems 60
Hardware, Robotics & Electronics 58
Image Processing & Computer Vision 44
Signal Processing 68
Proceedings https://ieeexplore.ieee.org/xpl/conhome/1000177/all-proceedings

Conference Call for Papers

An international forum for current work on data compression and related applications. Both theoretical and experimental work are 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, inpainting-based compression, perceptual coding, visual search, object recognition, applications of neural networks and deep learning (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.

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