Search Results - subject:"Image retrieval"

An Efficient Image Retrieval Based on Fusion of Fast Features and Query Image Classification

Singh, Vibhav Prakash; Srivastava, Subodh; Srivastava, … - In: International Journal of Rough Sets and Data Analysis … 4 (2017) 1, pp. 19-37

Content Based Image Retrieval (CBIR) is an emerging research area in computer vision, in which, we yield similar images …

Persistent link: https://www.econbiz.de/10012047370

Intelligent Content-Based Dermoscopic Image Retrieval with Relevance Feedback for Computer-Aided Melanoma Diagnosis

Belattar, Khadidja; Mostefai, Sihem; Draa, Amer - In: Journal of Information Technology Research (JITR) 10 (2017) 1, pp. 85-108

The use of Computer-Aided Diagnosis in dermatology raises the necessity of integrating Content-Based Image Retrieval … intelligent Content-Based Dermoscopic Image Retrieval (CBDIR) system with Relevance Feedback (RF) for melanoma diagnosis that … exhibits: efficient and accurate image retrieval as well as visual features extraction that is independent of any specific …

Persistent link: https://www.econbiz.de/10012049131

A new approach for image databases design

Bulysheva, L.; Jones, J.; Bi, Z. - In: Information technology and management 18 (2017) 2, pp. 97-105

Persistent link: https://www.econbiz.de/10011705558

Enhancing the retrieval performance in content based image retrieval using meta-heuristic approach

Umamaheswaran, S.; Kumar, N. Suresh; Ganesh, K.; … - In: International journal of business information systems : … 26 (2017) 2, pp. 220-235

Persistent link: https://www.econbiz.de/10011856458

A Key Point Selection Shape Technique for Content Based Image Retrieval System

Nikkam, Pushpalatha Shrikant; Reddy, B. Eswara - In: International Journal of Computer Vision and Image … 6 (2016) 2, pp. 54-70

Content Based Image Retrieval (CBIR) is the process of retrieving visually similar images from huge datasets. Images … object shape identified is described using histogram vectors. The use of SVM classifier for content recognition and image … retrieval task is considered. Results presented prove robustness of the key point technique to accurately describe object shapes …

Persistent link: https://www.econbiz.de/10012043819

Review of CBIR Related with Low Level and High Level Features

Kodi, Tamil; Kumari, G. Rosline Nesa; Perumal, S. Maruthu - In: International Journal of Synthetic Emotions (IJSE) 7 (2016) 1, pp. 27-40

The method of retrieving pictures from the massive image info is termed as content based mostly image retrieval (CBIR …

Persistent link: https://www.econbiz.de/10012047556

Inherent Fusion: Towards Scalable Multi-Modal Similarity Search

Novak, David; Zezula, Pavel; Budikova, Petra; Batko, Michal - In: Journal of Database Management (JDM) 27 (2016) 4, pp. 1-23

The rapid growth of unstructured data, commonly denoted as the Big Data challenge, requires new technologies that are capable of dealing with complex data objects such as multimedia. In this work, the authors focus on the content-based retrieval approach, which is able to organize such data by...

Persistent link: https://www.econbiz.de/10012048933

Expeditions through image jungles : The commercial use of image libraries in an online environment

Göker, Ayse; Butterworth, Richard; MacFarlane, Andrew; … - In: Journal of Documentation 72 (2016) 1, pp. 5-23

(Westman, 2009). Practical implications – The authors show that the commercial image retrieval systems are based on document …

Persistent link: https://www.econbiz.de/10014854828

Feature-based selection of image retrieval method for content-based geometrical images

Pathur, Nisha S.; Thangarasu, V. S.; Ilango, Krishnamurthi - In: International journal of information systems and change … 8 (2016) 3, pp. 211-220

Persistent link: https://www.econbiz.de/10011659819

Developing forecasting model in Thailand fashion market based on statistical analysis and content-based image retrieval

Kawinakrathiti, Komaek; Phimoltares, Suphakant; … - In: International journal of e-entrepreneurship and … 5 (2015) 1, pp. 32-46

Persistent link: https://www.econbiz.de/10011372751