Review on content-based image retrieval models for efficient feature extraction for data analysis
RB Devareddi, A Srikrishna - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Recent advances in multimedia tools and the explosion of online image archives have
prompted numerous studies on efficiently retrieving and managing visual data. All kinds of …
prompted numerous studies on efficiently retrieving and managing visual data. All kinds of …
Secure similar image matching (sesim): An improved privacy preserving image retrieval protocol over encrypted cloud database
The emergence of cloud computing provides new dimension for the user to perform
computations and store huge amount of data say images, video, audio etc,. However, the …
computations and store huge amount of data say images, video, audio etc,. However, the …
Classification of gastrointestinal images based on transfer learning and denoising convolutional neural networks
A Ahmed - Proceedings of International Conference on Data …, 2022 - Springer
Computer-aided diagnosis systems have become a common approach in hel** doctors to
diagnose and recognise various diseases more quickly. Medical image classification which …
diagnose and recognise various diseases more quickly. Medical image classification which …
Artificial intelligence-assisted internet of medical things enabling medical image processing
This chapter presents a comprehensive discussion of medical image modalities and
processing techniques. The importance, requirements, and unique challenges facing …
processing techniques. The importance, requirements, and unique challenges facing …
RefinerHash: a new hashing-based re-ranking technique for image retrieval
Re-ranking is a task of refining an initially ranked list of images obtained from an image
retrieval technique for a given query image, with the goal of enhancing retrieval performance …
retrieval technique for a given query image, with the goal of enhancing retrieval performance …
Advancements in Content-Based Image Retrieval: A Comprehensive Survey of Relevance Feedback Techniques
Content-based image retrieval (CBIR) systems have emerged as crucial tools in the field of
computer vision, allowing for image search based on visual content rather than relying …
computer vision, allowing for image search based on visual content rather than relying …
Deep Image Synthesis, Analysis and Indexing using Integrated CNN Architectures
The excessive use of Internet technology is leading to a massive increase in multimedia
content. Fast and effective image retrieval over a wide range of databases is a difficult task in …
content. Fast and effective image retrieval over a wide range of databases is a difficult task in …
[PDF][PDF] Pre-trained convolution neural networks models for content-based medical image retrieval
Content-based image retrieval (CBIR) is a recent method used to retrieve different types of
images from repositories. The traditional content-based medical image retrieval (CBMIR) …
images from repositories. The traditional content-based medical image retrieval (CBMIR) …
[HTML][HTML] End-to-end vertical web search pseudo relevance feedback queries recommendation software
Users' web information needs are increasingly exploratory, seeking to navigate unfamiliar
domains and discover knowledge. However, existing search engines struggle with …
domains and discover knowledge. However, existing search engines struggle with …
Integration of optimal feature descriptors and optimized CapsuleNets for medical image retrieval and classification using hybrid optimization algorithm
K Revathi, SV Kumar - Multimedia Tools and Applications, 2024 - Springer
This paper introduces an innovative methodology for retrieving and classifying medical
images, known as Content Based Medical Image Retrieval (CBMIR) by an Optimized Local …
images, known as Content Based Medical Image Retrieval (CBMIR) by an Optimized Local …