Context-Based Scalable Coding and Representation of High Resolution Art Pictures for Remote Data Access

Marie Babel (1) , Olivier Déforges (2) , Laurent Bédat (2) , Jean Motsch (1)

1 IETR - Institut d'Electronique et de Télécommunications de Rennes
2 IETR - Institut d'Électronique et des Technologies du numéRique

EROS is the largest database in the world of high resolution art pictures. The TSAR project is designed to open it in a secure, efficient and user-friendly way that involves cryptography and watermarking as well as compression and region-level representation abilities. This paper more particularly addresses the two last points. The LAR codec is first presented as a suitable solution for picture encoding with compression ranging from highly lossy to lossless. Then, we detail the concept of self-extracting region representation, which consists of performing a segmentation process at both the coder and decoder from a highly compressed image, and later locally enhancing the image in a region of interest. The overall scheme provides an efficient, consistent solution for advanced data browsing.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Marie Babel, Olivier Déforges, Laurent Bédat, Jean Motsch. Context-Based Scalable Coding and Representation of High Resolution Art Pictures for Remote Data Access. IEEE International Conference on Multimedia and Expo, ICME'07, Jul 2007, Beijing, China. pp.460-463. ⟨hal-00163329⟩