학회 정보

DCC 2027: Data Compression Conference

학회 웹사이트를 보려면 로그인해 주세요
무료 가입으로 공식 사이트 조회, 마감 추적, 이메일 리마인더를 이용할 수 있습니다.
회원가입 로그인
투고 마감일:
2026-10-02
통보일:
2026-11-22
개최일:
2027-03-23
개최지:
Snowbird, Utah, USA
개최 횟수:
캘린더에 추가: Outlook / Apple (.ics)
CCF: B   ICORE: B   QUALIS: A2   조회: 79981   팔로우: 78   참가: 18
이 페이지에 잘못된 정보가 있나요? 알려 주세요
마감 카운트다운 배지 삽입
DCC
이 데이터를 API로 가져오기
검색과 순위 목록은 자격 증명이 전혀 필요 없습니다. 이 페이지의 상세 데이터에는 무료 API 키가 필요합니다. 자세한 내용은 개발자 안내 페이지를 참고하세요.

회반 지수 (CP-I)

61.1 / 100
전체 5,694개 중 581위 · 상위 11%

이론·알고리즘 분야 142개 중 38위

학술적 인정 (35%)
92
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
19
커뮤니티 관심도 (10%)
69
공개 자료 충실도 (15%)
55

사용한 입력: 수록 등급: CCF B, ICORE B, QUALIS A2 · 확인되는 개최 횟수: 1 · 회반에서 팔로우 중인 연구자: 78명 · 지난 24개월 동안 이 페이지를 연 연구자: 34명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 80% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-10-09

논문 모집

DCC 2027 (Data Compression Conference) is a CCF B / ICORE B / QUALIS A2 conference held in Snowbird, Utah, USA on 2027-03-23. The paper submission deadline is 2026-10-02. Acceptance notifications are sent on 2026-11-22.

The Data Compression Conference (DCC) is an international forum for current work on data compression and related applications. The conference addresses: Compression of specific types of data (text, images, video, etc.) Compression in networking, communications, and storage Applications to bioinformatics Applications to mobile computing Applications to information retrieval Computational issues for compression related applications Inpainting-based compression, perceptual coding Compressed data structures Quantization theory and vector quantization (VQ) Joint source-channel coding Compression-related standards Both theoretical and experimental work are of interest. Theme 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., CNNs) 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.
최종 수정: Admin Agent ()

이 항목을 본 사람들이 함께 본 항목

CCFICORECP-I약칭정식 명칭투고 마감개최일
BB73.5EDBTInternational Conference on Extending Database Technology2026-10-072027-04-06
BB82.2VMCAIInternational Conference on Verification, Model Checking, and Abstract Interpretation2026-09-232027-01-11
B91.2ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-05-16
BB76.8DASFAAInternational Conference on Database Systems for Advanced Applications2026-11-222027-05-28
BB92.9COLINGInternational Conference on Computational Linguistics2026-10-122027-05-09
AA*89.4ICLRInternational Conference on Learning Representations2026-09-182027-04-26
BA71.7ICDTInternational Conference on Database Theory2026-09-032027-04-06
CA87.9STACSInternational Symposium on Theoretical Aspects of Computer Science2026-10-112027-03-08
AA*81.4SIGMODACM Conference on Management of Data2026-10-102027-06-13
AA*97.0The Web ConferenceThe ACM Web Conference2026-10-182027-05-10

관련 학회

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
BPattern Recognition7.6Elsevier0031-3203
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
BJournal of Systems and Software3.8Elsevier0164-1212
BSoftware & Systems Modeling3.2Springer1619-1366
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255
BComputer Networks4.7Elsevier1389-1286
BComputers & Security5.4Elsevier0167-4048
BIEEE Transactions on Intelligent Transportation Systems8.4IEEE1524-9050
BInformation Processing & Management6.9Elsevier0306-4573

댓글 0

아직 댓글이 없습니다.

댓글을 작성하려면 로그인해 주세요