Improving Query Effectiveness for Large Image Databases with Multiple Visual Feature Combination

• Main Authors: SHEN, Jialie, Shepherd, John, Ngu, AHH, Huynh, Du Q.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2004
• Subjects: Multiple database; Probabilistic approach; Neural network; Distortion; Human; Classification; Texture; Multimedia; Indexing; Visual databases; Distributed database; Multiple image; Image databank; Database query; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/1238
• Institution: Singapore Management University

This paper describes CMVF, a new framework for indexing multimedia data using multiple data properties combined with a neural network. The goal of this system is to allow straightforward incorporation of multiple image feature vectors, based on properties such as colour, texture and shape, into a si...