Title :
Context-Based Scalable Coding and Representation of High Resolution Art Pictures for Remote Data Access
Author :
Babel, Marie ; Déforges, Olivier ; Bédat, Laurent ; Motsch, Jean
Author_Institution :
INSA of Rennes, Rennes
Abstract :
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.
Keywords :
cryptography; data compression; decoding; image coding; image representation; image resolution; image segmentation; watermarking; EROS; LAR codec; TSAR project; context-based scalable coding; cryptography; data browsing; decoder; high resolution art pictures; image enhancement; picture compression; picture encoding; region of interest; region-level representation; remote data access; segmentation process; self-extracting region representation; watermarking; Art; Bit rate; Codecs; Image coding; Image databases; Image resolution; Image segmentation; Laboratories; Remote sensing; Subspace constraints;
Conference_Titel :
Multimedia and Expo, 2007 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-1016-9
Electronic_ISBN :
1-4244-1017-7
DOI :
10.1109/ICME.2007.4284686
