DCT-Domain Image Retrieval Via Block-Edge-Patterns
Main information
A new algorithm for compressed image retrieval is proposed in this
paper based on DCT block edge patterns. This algorithm directly extract three
edge patterns from compressed image data to construct an edge pattern histogram
as an indexing key to retrieve images based on their content features.
Three feature-based indexing keys are described, which include: (i) the first two
features are represented by 3-D and 4-D histograms respectively; and (ii) the
third feature is constructed by following the spirit of run-length coding, which
is performed on consecutive horizontal and vertical edges. To test and evaluate
the proposed algorithms, we carried out two-stage experiments. The results
show that our proposed methods are robust to color changes and varied noise.
In comparison with existing representative techniques, the proposed algorithms
achieves superior performances in terms of retrieval precision and processing
speed.
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