logo

24 de marzo - 24 de marzo de 2026

Clasificación: B (CORE2023)In-Person

Data Compression Conference

Actualizado: 18 days ago
0.0 (0 Calificaciones)
Snowbird, UT, USANo publisher

Aún no hay seguidores.

Resumen General

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.

Convocatoria

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.

Fechas Importantes

Fechas del Congreso

Conference Date

24 de marzo de 2026

Anteriormente:
  • 24 de marzo de 2026 - 27 de marzo de 2026

Envío

Paper submission

NUEVO

11 de octubre de 2025

Notificación

Notification date

NUEVO

23 de noviembre de 2025

Versión Final

Camera-ready

NUEVO

10 de diciembre de 2025

Inscripción

Author-Registration Deadline

10 de diciembre de 2025

Clasificación de la Fuente

Fuente: CORE2023

Clasificación: B

Campo de Investigación: Data management and data science

Mapa

Loading feedback section...