Results 341 to 350 of about 678,145 (379)

Innovative local texture descriptor in joint of human-based color features for content-based image retrieval

Signal, Image and Video Processing, 2023
Morteza Karimian-kelishadrokhi, Mohammad Ghattaei, Shervan Fekri-Ershad   +2 more
semanticscholar   +1 more source

Content-based image retrieval based on combination of texture and colour information extracted in spatial and frequency domains

Electronic library, 2019
Purpose Large amount of data are stored in image format. Image retrieval from bulk databases has become a hot research topic. An alternative method for efficient image retrieval is proposed based on a combination of texture and colour information.
Neda Tadi Bani, Shervan Fekri-Ershad
semanticscholar   +1 more source

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, CASTELLANI, Umberto   +1 more
openaire   +3 more sources

Indexing and content-based image retrieval

2011 International Conference on Multimedia Computing and Systems, 2011
Based on the use of KD-tree, we present a method of indexing of the color images. This method combines color's information of the pixels and their positions in the images. It also aims at reducing the size of signatures of each image, and consequently reducing the computation time between two signatures. The method of similarity measure used is the EMD
Hamid Zouaki, Bahri abdelkhalak
openaire   +2 more sources

Content based image retrieval systems

Proceedings 1999 IEEE Symposium on Application-Specific Systems and Software Engineering and Technology. ASSET'99 (Cat. No.PR00122), 2003
The ability to organize and retrieve visual information such as images and video is becoming a crucial problem for specialists and general computer users alike. Because processing visual information requires perceptual abilities not yet known to exist in computational form, the ability to retrieve visual information without human assistance is a rich ...
S. Sitharama Iyengar, J.M. Zachary
openaire   +2 more sources

Medical Image Description in Content-Based Image Retrieval

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005
Medical image description is an important problem in content-based medical image retrieval. Hierarchical medical image semantic features description model is proposed according to the main sources to get semantic features currently. Based on it, medical image description model combining low-level features and semantic features is proposed. Experimental
Shao Hong, Tang Li, Cui Wen-cheng
openaire   +3 more sources

Recent developments of content-based image retrieval (CBIR)

Neurocomputing, 2021
Xiaoqing Li, Jiansheng Yang, Jinwen Ma
semanticscholar   +1 more source

Personalized Content-Based Image Retrieval

2009
In content-based image retrieval (CBIR), a set of low-level features are extracted from an image to represent its visual content. Retrieval is performed by image example where a query image is given as input by the user and an appropriate similarity measure is used to find the best matches in the corresponding feature space.
openaire   +1 more source

Content based image retrieval based on weighted fusion of texture and color features derived from modified local binary patterns and local neighborhood difference patterns

Multimedia tools and applications, 2021
Nasim Kayhan, Shervan Fekri-Ershad
semanticscholar   +1 more source

An effective hybrid framework for content based image retrieval (CBIR)

Multimedia tools and applications, 2021
U. A. Khan, A. Javed, Rehan Ashraf
semanticscholar   +1 more source