Anne H. H. Ngu, Quan Z. Sheng, Du Q. Huynh, and Ron Lei, "Combining multi-visual features for efficient indexing in a large image database," 2000, VLDB Journal.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....image labels [2] content based image retrieval [1] evaluation of suitable feature extraction algorithms for single qualities like color or texture [3] as well This work has been supported by the BMB F under contract 01IB 001B. as for combinations of various features in one feature vector [4], learning systems [5, 6] knowledge based systems [7] intelligent user interfaces etc. Despite the variety of approaches, the semantic gap [1] between the intensity based (low level) image representation and the contents of the image as seen from the userlevel is still largely unbridged by ....

Anne H. H. Ngu, Quan Z. Sheng, Du Q. Huynh, and Ron Lei, "Combining multi-visual features for efficient indexing in a large image database," 2000, VLDB Journal.

....to the non linear correlations in the feature vectors. Motivated by these concerns, we proposed and developed the CMVF (Combining Multi Visual Features) framework, a fast and robust hybrid method for nonlinear dimensions reduction of composite image features for indexing in large image database[2]. This method incorporates both the PCA and non linear neural network techniques to reduce the dimensions of feature vectors, so that an optimised access method can be applied. In this demonstration, we show that with CMVF approach a small but well discriminating feature vector can be obtained ....

Anne.H.H.Ngu, Q. Z.Sheng, D. Q.Huynh, and R. Lei. Combining multi-visual features for efficientindexing in a large image database. The VLDB Journal, 9(4):280--293, May 2001.

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