ICMCS
2007
IEEE
14 years 6 months ago
2007
IEEE
Query reformulation has been suggested as an effective way to improve retrieval efficiency in text information retrieval and one of the well-known techniques for query reformulati...
MUE
2007
IEEE
14 years 6 months ago
2007
IEEE
Recently, there has been an increased interest in the query reformulation using relevance feedback with evolutionary techniques such as genetic algorithm for multimedia informatio...
ICMCS
2007
IEEE
14 years 6 months ago
2007
IEEE
In this paper, we propose a method to rank the highlights of broadcast racquet sports videos. Compared with previous work, we integrate relevance feedback into highlight ranking f...
ICMCS
2007
IEEE
14 years 6 months ago
2007
IEEE
With the proliferation of handheld devices, the demand of multimedia information retrieval on mobile devices has attracted more attention. A relevance feedback information retriev...
ICIP
2007
IEEE
14 years 6 months ago
2007
IEEE
In relevance feedback, active learning is often used to alleviate the burden of labeling by selecting only the most informative data. Traditional data selection strategies often c...
ICASSP
2007
IEEE
14 years 6 months ago
2007
IEEE
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
ICASSP
2007
IEEE
14 years 6 months ago
2007
IEEE
This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
ICASSP
2008
IEEE
14 years 7 months ago
2008
IEEE
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in a step-by-step lab...
MM
2009
ACM
14 years 7 months ago
2009
ACM
Experiential image retrieval systems aim to provide the user with a natural and intuitive search experience. The goal is to empower the user to navigate large collections based on...
ISCIS
2009
Springer
14 years 7 months ago
2009
Springer
— In this paper, we present a novel relevance feedback method for Content-Based Image Retrieval systems based on dynamic feature weights. The proposed method utilizes intracluste...