Results 31 to 40 of about 1,130,991 (283)
Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval [PDF]
, 2006 Relevance feedback schemes based on support vector machines (SVM) have been widely used in content-based image retrieval (CBIR). However, the performance of SVM-based relevance feedback is often poor when the number of labeled positive feedback samples ...
Li, Xuelong, Tang, X., Tao, D., Wu, X.
core +1 more source
Deep CNN Combined With Relevance Feedback for Trademark Image Retrieval
Journal of Intelligent Systems, 2018 Trademark recognition and retrieval is a vital appliance component of content-based image retrieval (CBIR). Reduction in the semantic gap, attaining more accuracy, reduction in computation complexity, and hence in execution time, are the major challenges
Pinjarkar Latika +2 more
doaj +1 more source
Affective feedback: an investigation into the role of emotions in the information seeking process [PDF]
, 2008 User feedback is considered to be a critical element in the information seeking process, especially in relation to relevance assessment. Current feedback techniques determine content relevance with respect to the cognitive and situational levels of ...
Arapakis, I., Gray, P.D.G., Jose, J.M.
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Modified one-class support vector machine for content-based image retrieval with relevance feedback
Cogent Engineering, 2018 Image retrieval via traditional Content-Based Image Retrieval (CBIR) often incurs the semantic gap problem—non-correlation of image retrieval results with human semantic interpretation of images.
Oluwole A. Adegbola +4 more
doaj +1 more source
Exploring EEG for Object Detection and Retrieval [PDF]
, 2015 This paper explores the potential for using Brain Computer Interfaces (BCI) as a relevance feedback mechanism in content-based image retrieval. We investigate if it is possible to capture useful EEG signals to detect if relevant objects are present in a ...
Giró-i-Nieto, Xavier +7 more
core +2 more sources
Synchronous collaborative information retrieval with relevance feedback [PDF]
, 2006 Collaboration has been identified as an important aspect in information seeking. People meet to discuss and share ideas and through this interaction an information need is quite often identified.
Foley, Colum +2 more
core +1 more source
Discriminative Semantic Subspace Analysis for Relevance Feedback [PDF]
IEEE Transactions on Image Processing, 2016 Content-based image retrieval (CBIR) has attracted much attention during the past decades for its potential practical applications to image database management. A variety of relevance feedback (RF) schemes have been designed to bridge the gap between low-level visual features and high-level semantic concepts for an image retrieval task.
Zhang, Lining +2 more
openaire +5 more sources
A Study of Word Bigrams for Pseudo-relevance Feedback in Information Retrieval [PDF]
Journal of Universal Computer ScienceTraditional information retrieval models mostly adopt a term independence assumption and are based on single terms or unigrams. Past efforts have attempted to go beyond this assumption, such as by using contiguous terms (i.e.
Edward Kai Fung Dang +2 more
doaj +3 more sources
Interactive Content Based Image Retrieval using Multiuser Feedback
JOIV: International Journal on Informatics Visualization, 2017 Retrieving images from large databases becomes a difficult task. Content based image retrieval (CBIR) deals with retrieval of images based on their similarities in content (features) between the query image and the target image.
M. Premkumar, R. Sowmya
doaj +1 more source
Relevance Feedback in CBIR [PDF]
, 2002 A new focus in content-based image retrieval (CBIR) research is applying relevance feedback originally developed for text document retrieval, to improve the retrieval performance. This effort tries to bridge the gap between low-level image features and high-level semantic contents of images as this gap is the bottleneck of CBIR.
Hongjiang Zhang, Zhong Su
openaire +1 more source