Compressed domain image retrieval: a comparative study of similarity metrics

2003 ◽  
Author(s):  
Maria Hatzigiorgaki ◽  
Athanassios N. Skodras
Keyword(s):  
Comparative Study ◽  
Image Retrieval ◽  
Compressed Domain ◽  
Similarity Metrics

scholarly journals A comparative study of different texture features for document image retrieval

2019 ◽  
Vol 121 ◽  
pp. 97-114 ◽  
Author(s):  
Fahimeh Alaei ◽  
Alireza Alaei ◽  
Umapada Pal ◽  
Michael Blumenstein
Keyword(s):  
Comparative Study ◽  
Image Retrieval ◽  
Texture Features ◽  
Document Image

Automatic Object Classification and Image Retrieval by Sobel Edge Detection

2014 ◽  
pp. 196-201
Keyword(s):  
Edge Detection ◽  
Comparative Study ◽  
Image Retrieval ◽  
Numerical Experiments ◽  
Object Classification ◽  
Similarity Coefficient ◽  
Cosine Similarity ◽  
Retrieval Algorithms ◽  
Sobel Edge Detection ◽  
Classification Tool

A comparative study of ability of the proposed novel image retrieval algorithms is performed to provide automated object classification invariant of rotation, translation, and scaling. Simple cosine similarity coefficient methods are analyzed. Considering applied cosine similarity coefficient methods, the two following approaches were tested and compared: the processing of the whole image and the processing of the image that contains edges extracted by the application of the Sobel edge detector. Numerical experiments on a real database sets indicate feasibility of the presented approach as an automated object classification tool without special image pre-processing.

An Optimal Codebook for Content-Based Image Retrieval in JPEG Compressed Domain

2019 ◽  
Vol 44 (11) ◽  
pp. 9755-9767 ◽  
Author(s):  
Afshan Jamil ◽  
Muhammad Majid ◽  
Syed Muhammad Anwar
Keyword(s):  
Image Retrieval ◽  
Content Based Image Retrieval ◽  
Compressed Domain
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