Title :
From Pixels to Semantic Spaces: Advances in Content-Based Image Retrieval
Author :
Vasconcelos, Nuno
Author_Institution :
Univ. of California, San Diego
fDate :
7/1/2007 12:00:00 AM
Abstract :
The paradigm for image retrieval has evolved from low-level image representations to semantic concept models to higher-level semantic inferences. UCSD´s Statistical Visual Computing Laboratory has developed effective techniques for each paradigm that equate retrieval with classification and strive for minimum-probability-of-error optimality.
Keywords :
content-based retrieval; image classification; image representation; image retrieval; UCSD Statistical Visual Computing Laboratory; content-based image retrieval; higher-level semantic inferences; image representations; minimum-probability-of-error optimality; semantic concept models; Content based retrieval; Image databases; Image representation; Image retrieval; Information retrieval; Intelligent systems; Laboratories; Pixel; Spatial databases; Visual databases; image retrieval systems;
DOI :
10.1109/MC.2007.239
