Content based Image Retrieval in the Compressed Domain

Abstract

Given an image with N blocks of 8x8 pixels, we construct an indexing key by overlapping the N blocks into one combinational block and each block acting as one single plane inside the combinational block. Specific construction of each element inside the indexing key can have a range of alternatives based on such a common platform. These include: (i) average DCT value (ii) energy distributed in DCT domain to construct the indexing key, and (iii) DCT coefficients that can be polarized via exploiting their directional properties, and thus can be processed to construct an energy magnitude to highlight the texture of the input image. In this way, the dimension of the indexing key can be significantly reduced. In this paper we represent DCT descriptors as tools of generating indexing key in compress domain. General TermsImage Retrieval

Face Recognition using Content Based Image Retrieval for Intelligent Security

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“…These days, this surveillance system is being installed at home to monitor and avoid any unwanted activities to occur. Thus, the owner can quickly take necessary actions in case of any aggravations [13]. As house break-in cases increasingly rapidly, there is multiple intelligent home security system that is being developed with many necessary features.…”

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