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Advanced Content Based Image Retrieval for Fashion

2015
In this paper we propose a new content based approach for clothing image retrieval trying to mimic the human vision understanding not only based on naive manipulation of texture and color, but also combining some recent and advanced techniques like human pose estimation, super-pixel segmentation and cloth parsing.
Dagnew, Tewodros Mulugeta   +1 more
openaire   +3 more sources

Content-based image retrieval

Multimedia Tools and Applications, 2023
openaire   +1 more source

Content-Based Image Retrieval

2009
Content-Based Image Retrieval (CBIR) aims to search images that are perceptually similar to the querybased on visual content of the images without the help of annotations. The current CBIR systems use global features (e.g., color, texture, and shape) as image descriptors, or usefeatures extracted from segmented regions (called region-based descriptors).
Ming Zhang, Reda Alhajj
openaire   +1 more source

Content-based image retrieval: A review of recent trends

Cogent Engineering, 2021
Basheera M Mahmmod   +2 more
exaly  

A comprehensive survey on the reduction of the semantic gap in content-based image retrieval

International Journal of Applied Pattern Recognition, 2021
Jayant Jagtap
exaly  

A Decade Survey of Content Based Image Retrieval Using Deep Learning

IEEE Transactions on Circuits and Systems for Video Technology, 2022
Shiv Ram Dubey
exaly  

Content-based image retrieval at the end of the early years

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
Simone Santini   +2 more
exaly  

A survey of content-based image retrieval with high-level semantics

Pattern Recognition, 2007
Dengsheng Zhang, Guojun Lu
exaly  

Content based image retrieval using image features information fusion

Information Fusion, 2019
Muhammad Amjad Iqbal   +1 more
exaly  

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