Abstract
Content Based Visual Information Retrieval is one of the most cardinal and crucial aspect in the category of digital image processing. The significant mechanism that has been lucidly highlighted here is the fast multiresolution image querying using Color Coherence Vector (CCV) along with the refinement of color histogram. However, the retrieval speed and accuracy can be enhanced using color characteristics and mathematical model despite the collection of innumerable images in dataset. Color feature extraction and coherency estimation assist in flawless and swiftest image querying according to the matched template (matrices) of the color histogram image with maximum precision.
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