Sciweavers

507 search results - page 34 / 102
» Textural Features and Relevance Feedback for Image Retrieval
Sort
View
MMM
2003
Springer
136views Multimedia» more  MMM 2003»
15 years 5 months ago
Modeling Data and User Characteristics by Peer Indexing in Content-based Image Retrieval
: Modeling the characteristics of specific images and individual users is a critical issue in content-based image retrieval but insufficiently addressed by the current retrieval ap...
Jun Yang 0003, Qing Li, Yueting Zhuang
ICIP
2003
IEEE
16 years 1 months ago
An ontology approach to object-based image retrieval
In this paper, an image retrieval methodology suited for search in large collections of heterogeneous images is presented. The proposed approach employs a fully unsupervised segme...
Vasileios Mezaris, Ioannis Kompatsiaris, Michael G...
COLING
2010
14 years 6 months ago
Negative Feedback: The Forsaken Nature Available for Re-ranking
Re-ranking for Information Retrieval aims to elevate relevant feedbacks and depress negative ones in initial retrieval result list. Compared to relevance feedback-based re-ranking...
Yu Hong, Qing-qing Cai, Song Hua, Jian-Min Yao, Qi...
AMR
2007
Springer
120views Multimedia» more  AMR 2007»
15 years 6 months ago
Searching for Music Using Natural Language Queries and Relevance Feedback
We extend an approach to search inside large-scale music collections by enabling the user to give feedback on the retrieved music pieces. In the original approach, a search engine ...
Peter Knees, Gerhard Widmer
PRL
2008
143views more  PRL 2008»
14 years 11 months ago
An active feedback framework for image retrieval
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). Since users are usually unwilling to prov...
Tao Qin, Xu-Dong Zhang, Tie-Yan Liu, De-Sheng Wang...