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Medical Image Description in Content-Based Image Retrieval
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005Medical 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, Cui, Wen-Cheng, Tang, Li
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Saliency Inside: Learning Attentive CNNs for Content-Based Image Retrieval
IEEE Transactions on Image Processing, 2019In content-based image retrieval (CBIR), one of the most challenging and ambiguous tasks is to correctly understand the human query intention and measure its semantic relevance with images in the database.
Shikui Wei +5 more
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Content based image retrieval systems
Proceedings 1999 IEEE Symposium on Application-Specific Systems and Software Engineering and Technology. ASSET'99 (Cat. No.PR00122), 2003The 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 ...
J.M. Zachary, S.S. Iyengar
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Content based image retrieval systems
Computer, 1995Images are being generated at an ever-increasing rate by sources such as defence and civilian satellites, military reconnaissance and surveillance flights, fingerprinting and mug-shot-capturing devices, scientific experiments, biomedical imaging, and home entertainment systems.
V.N. Gudivada, V.V. Raghavan
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Content-based vessel image retrieval
SPIE Proceedings, 2016This paper describes an approach to vessel classification from satellite images using content based image retrieval methodology. Content-based image retrieval is an important problem in both medical imaging and surveillance applications. In many cases the archived reference database is not fully structured, thus making content-based image retrieval a ...
Satabdi Mukherjee +2 more
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Content-Based Image Retrieval Query Paradigms
2005The proliferation in volume of digital image data has exacerbated the general image retrieval problem, creating a need for efficient storage and flexible retrieval of vast amounts of image data (Chang, 1989). Whilst there have been significant technological advances with image data capture and storage, developments in effective image retrieval have not
Venters, Colin C. +2 more
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Recent developments of content-based image retrieval (CBIR)
Neurocomputing, 2021Xiaoqing Li, Jiansheng Yang, Jinwen Ma
semanticscholar +1 more source
Privacy preserving content based image retrieval
Multimedia tools and applications, 2023M. Kayani +3 more
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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
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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
Signal, Image and Video Processing, 2023
Morteza Karimian-kelishadrokhi +2 more
semanticscholar +1 more source
Morteza Karimian-kelishadrokhi +2 more
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