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Colour image retrieval based on DCT-domain vector quantisation
 

Summary: Colour image retrieval based on
DCT-domain vector quantisation
index histograms
Z.-M. Lu and H. Burkhardt
A new kind of feature for colour image retrieval based on DCT-domain
vector quantisation (VQ) index histograms (DCTVQIH) is proposed.
For each colour image in the database, 12 histograms (four for each
colour component) are calculated from 12 DCT-VQ index sequences,
respectively. The retrieval simulation results show that, compared with
the traditional spatial-domain colour-histogram-based features, the
proposed features can largely improve the recall and precision perfor-
mance.
Introduction: In a content-based image retrieval (CBIR) system [1],
instead of being manually annotated by keywords, images are indexed
by their own visual content, such as colour [2], texture [3] and shape
[4], which are more essential and closer to the human perceptual
system than the keywords used in a text-based image retrieval system.
Because of the natural classification and clustering characteristics of
vector quantisation (VQ) [5], researchers [6­8] have presented some
image retrieval schemes based on VQ. Reference [6] uses tree-

  

Source: Albert-Ludwigs-Universität Freiburg, Institut für Informatik,, Lehrstuhls für Mustererkennung und Bildverarbeitung

 

Collections: Computer Technologies and Information Sciences