Results 101 to 110 of about 2,978 (220)
Multitraining support vector machine for image retrieval
, 2006 Relevance feedback (RF) schemes based on support vector machines (SVMs) have been widely used in content-based image retrieval (CBIR). However, the performance of SVM-based RF approaches is often poor when the number of labeled feedback samples is small.
Tao, D. +7 more
core +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 ...
Urban, J. +3 more
core +1 more source
Content Based Image Retrieval (Cbir): Review And Challenges
, 2017 Content based image retrieval (CBIR) from large resources has become an area of wide interest nowadays in many applications. CBIR is very useful in several applications such as medical imaging, modern diagnosis, remote sensing and satellite imaging. The different types of images are subjected to set of operations used as constituent stages of CBIR. The
openaire +2 more sources
, 2007 Over the last decade, storage of non text-based data in databases has become an increasingly important trend in information management. Image in particular, has been gaining popularity as an alternative, and sometimes more viable, option for information ...
Chung, Kien- Ping
core
Preprocessing for content-based image retrieval
, 2009 The research focuses on image retrieval problems where the query is formed as an image of a specific object of interest. The broad aim is to investigate pre-processing for retrieval of images of objects when an example image containing the object is ...
Rodhetbhai, Wasara
core
, 2006 In recent years, a variety of relevance feedback (RF) schemes have been developed to improve the performance of content-based image retrieval (CBIR). Given user feedback information, the key to a RF scheme is how to select a subset of image features to ...
Tang, X +7 more
core +1 more source
Color Feature Embedded for Content-based Image Retrieval System. [PDF]
Retrieving images from a large image databases using image content as a key is an important ...
Haili, Hailiza Kamarul, Sumari, Putra
core
Removing Edge Defect In Color-Based Image Retrieval. [PDF]
, 2004 Growth of digital image archive is increasing rapidly and the demand for effective and efficient tools for searching through large amounts of visual data is great.
Kamarulhaili, Hailiza +3 more
core
Content-Based Image Retrieval for Tourism Application Using Handheld Devices
International Journal of Information and Communication Technology Research, 2012 This paper proposed a scenario for using a CBIR (Content-Based Image Retrieval) system in tourism application. Several CBIR algorithms are studied and applied for the proposed scenario.
Zobeir Raisi +2 more
doaj
Feature Selection for Image Retrieval based on Genetic Algorithm
International Journal of Interactive Multimedia and Artificial Intelligence, 2016 This paper describes the development and implementation of feature selection for content based image retrieval. We are working on CBIR system with new efficient technique. In this system, we use multi feature extraction such as colour, texture and shape.
Rashmi R. Welekar, Preeti Kushwaha
doaj +1 more source