Results 71 to 80 of about 4,998 (209)
Discriminative Classification vs Modeling Methods in CBIR
, 2004 International audienceStatistical learning methods are currently considered with an increasing interest in the content-based image retrieval (CBIR) community. We compare in this article two leader techniques for classification tasks.
Cord, Matthieu +3 more
core +4 more sources
Jurnal Matematika Integratif, 2013 Meningkatnya jumlah gambar digital yang tersimpan dalam media penyimpanan database dan kemampuan komputer untuk menyediakan kebutuhan informasi pengguna dengan cepat telah menjadi kebutuhan penting saat ini.
Juli Rejito
doaj +1 more source
IET Image Processing, Volume 19, Issue 1, January/December 2025.We present a two‐tier deep learning framework for content‐based image retrieval, combining pixel‐level colour classification with image‐level classification and adaptive feature fusion. The system dynamically optimises structural and semantic similarity weights (alpha and beta) via neural prediction, achieving 0.87 0.99 precision across medical and ...
Aqeel M. Humadi +3 more
wiley +1 more source
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.With the exponential growth of multimedia content, visual sentiment classification has emerged as a significant research area. However, it poses unique challenges due to the complexity and subjective nature of the visual information. This can be attributed to the significant presence of semantically ambiguous images within the current benchmark ...
Israa K. Salman Al-Tameemi +4 more
wiley +1 more source
FEATURE EXTRACTION TECHNIQUES ON CBIR-A REVIEW
, 2020 Content Based Image retrieval (CBIR) is the process of retrieving and displaying relevant images of users wish from a database on the basis of its visual content.
Ajeesh S S, Indu M S
core
Relevance Feedback within CBIR Systems
, 2014 We present here the results for a comparative study of some techniques, available in the literature, related to the relevance feedback mechanism in the case of a short-term learning. Only one method among those considered here is belonging to the data mining field which is the K-nearest neighbors algorithm (KNN) while the rest of the methods is related
Mawloud Mosbah, Boucheham, Bachir
openaire +3 more sources
Multifeature Fusion for Enhanced Content‐Based Image Retrieval Across Diverse Data Types
Journal of Electrical and Computer Engineering, Volume 2025, Issue 1, 2025.There is a growing trend for using content‐based image retrieval (CBIR) systems these days because of the constantly growing interest in digital content. Therefore, the ability of the CBIR to perform the CBIR process will depend on the feature extraction process and its basis, for the retrieval will be done on.
Punit Soni +7 more
wiley +1 more source
A META-MODEL FOR LOW-CODE CONFIGURATION AND DEPLOYMENT OF CONTENT-BASED IMAGE RETRIEVAL SYSTEMS
Компютерні системи та інформаційні технологіїThe object of this study is content-based image retrieval (CBIR) systems with configurable architectures, and the subject is the meta-model for low-code configuration and deployment of CBIR systems.
Станіслав ДАНИЛЕНКО +1 more
doaj +1 more source
SkinSage XAI: An explainable deep learning solution for skin lesion diagnosis
Health Care Science, Volume 3, Issue 6, Page 438-455, December 2024.The research was meant to disentangle the difficulties of skin lesion diagnosis using a multimodal approach. Our suggested technique offers unparalleled levels of transparency and interpretability in skin lesion categorization and marks a substantial improvement in the area via methodical methodology and meticulous refining.
Geetika Munjal +4 more
wiley +1 more source
Surveying the reality of semantic image retrieval
, 2005 An ongoing project is described which seeks to add to our understanding about the real challenge of semantic image retrieval. Consideration is given to the plurality of types of still image, a taxonomy for which is presented as a framework within which ...
Lewis, Paul +2 more
core +1 more source