Abstract: Automatically retrieving images through their low-level visual features has become one of the challenging areas of research recently.
Abstract: Automatically retrieving images through their low-level visual features has become one of the challenging areas of research recently.
In this paper, we propose a novel technique to extract dominant features of images in block-DCT domain. ... Dominant Feature Extraction in Block-DCT Domain.
... Dominant Feature Extraction in Block-DCT Domain ... In this paper, we propose a novel technique to extract dominant features of images in block-DCT domain.
The image is first converted to YUV color space and divided into four subblocks. The Y-component in each subblock is then transformed into DCT coefficients, ...
As most of MPEG and JPEG compression standards are DCT-based, we propose a simple, low-cost and fast algorithm to extract dominant colour features directly in ...
The proposed dominant spectral feature selection algorithm offers an advantage of very low feature dimension and it is capable of capturing precisely the detail ...
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Traditional feature extraction techniques like the KLT, Harris and Wavelet work only in the uncompressed domain. Hence an additional step of decompression ...
The objective of the work presented in this thesis is to develop an effective methodology for feature extraction in the discrete cosine transform (DCT) domain ...
Abstract—We explore the effectiveness of deep features ex- tracted by Convolutional Neural Networks(CNNs) in the Discrete. Cosine Transform(DCT) domain for ...
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