Results 51 to 60 of about 6,778 (208)
Query-sensitive similarity measure for content-based image retrieval using meta-heuristic algorithm
Journal of King Saud University: Computer and Information Sciences, 2018 Content based image retrieval (CBIR) systems retrieve images linked to the query image (QI) from enormous databases. The feature sets extracted by the present CBIR systems are limited. This limits the systems’ effectiveness.
Mutasem K. Alsmadi
doaj +1 more source
An Appraisal of Content-Based Image Retrieval (CBIR) Methods
Asian Journal of Research in Computer Science, 2019 Background: Content Based Image Retrieval (CBIR) is an aspect of computer vision and image processing that finds images that are similar to a given query image in a large scale database using the visual contents of images such as colour, texture, shape, and spatial arrangement of regions of interest (ROIs) rather than manually annotated textual ...
Iroju Olaronke +3 more
openaire +2 more sources
Autoencoding the Retrieval Relevance of Medical Images
, 2015 Content-based image retrieval (CBIR) of medical images is a crucial task that can contribute to a more reliable diagnosis if applied to big data. Recent advances in feature extraction and classification have enormously improved CBIR results for digital ...
Camlica, Zehra +2 more
core +1 more source
Gaze-Dependent Image Re-Ranking Technique for Enhancing Content-Based Image Retrieval
Applied Sciences, 2023 Content-based image retrieval (CBIR) aims to find desired images similar to the image input by the user, and it is extensively used in the real world. Conventional CBIR methods do not consider user preferences since they only determine retrieval results ...
Yuhu Feng +3 more
doaj +1 more source
EGO: a personalised multimedia management tool [PDF]
, 2006 The problems of Content-Based Image Retrieval (CBIR) sys- tems can be attributed to the semantic gap between the low-level data representation and the high-level concepts the user associates with images, on the one hand, and the time-varying and often ...
Jose, J.M., Urban, J.
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Implementation of Content-Based Image Retrieval Using Artificial Neural Networks
Engineering Proceedings, 2023 CBIR (Content Based Image Retrieval) has become a critical domain in the previous decade, owing to the rising demand for image retrieval from multimedia databases.
Sarath Chandra Yenigalla +2 more
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Content Based Image Retrieval (CBIR) Menggunakan Jarak dan Divergensi
e-Jurnal JUSITI (Jurnal Sistem Informasi dan Teknologi Informasi), 2020 Temu kembali citra atau yang disebut dengan Content Based Image Retrieval (CBIR), yang menggunakan Jarak dan Divergensi dimana citra yang kurang jelas gambarnya dapat ditemukan kembali dengan menggunakan Jarak dan Divergensi, dengan menggunakan pendekatan jarak dimana untuk dapat menentukan kesamaan dan ketidaksamaan citra semakin dekat jarak semakin ...
openaire +2 more sources
Query-dependent metric learning for adaptive, content-based image browsing and retrieval [PDF]
, 2014 Content-based image retrieval (CBIR) systems often incorporate a relevance feedback mechanism in which retrieval is adapted based on users identifying images as relevant or irrelevant.
Han, Junwei, McKenna, Stephen
core +3 more sources
Hidden Tumour Visualization in Augmented Monocular Liver Laparoscopy
Healthcare Technology Letters, Volume 13, Issue 1, January/December 2026.We have proposed a novel visualization method with three visualization variants for hidden tumours in liver laparoscopy. We propose a visualization that convinces users to see the tumour inside the organ and provides metric depth perception. ABSTRACT We address the hidden tumour visualization problem in augmented monocular liver laparoscopy.
Kirana Hanifati +7 more
wiley +1 more source
Content-based indexing of low resolution documents [PDF]
, 2016 In any multimedia presentation, the trend for attendees taking pictures of slides that interest them during the presentation using capturing devices is gaining popularity.
Md Nor, Danial
core