On image retrieval using salient regions with vector-spaces and latent semantics

Authors:
Jonathon S. Hare;Paul H. Lewis
Affiliations:
Intelligence, Agents, Multimedia Group, School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom;Intelligence, Agents, Multimedia Group, School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom
Venue:
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Year:
2005

Citing 5
Cited 8

Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying

IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Textual and Visual Cues for Content-Based Image Retrieval on the World Wide Web

CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
Improving Response Time by Search Pruning in a Content-Based Image Retrieval System, Using Inverted File Techniques

CBAIVL '99 Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries
Video Google: A Text Retrieval Approach to Object Matching in Videos

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision

Semantic spaces revisited: investigating the performance of auto-annotation and semantic retrieval using semantic spaces

CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Context-sensitive queries for image retrieval in digital libraries

Journal of Intelligent Information Systems
A system for semantic retrieval and long-term preservation of multimedia documents in the e-government domain

International Journal of Web and Grid Services
Automatically annotating the MIR Flickr dataset: experimental protocols, openly available data and semantic spaces

Proceedings of the international conference on Multimedia information retrieval
Image and collateral text in support of auto-annotation and sentiment analysis

TextGraphs-5 Proceedings of the 2010 Workshop on Graph-based Methods for Natural Language Processing
Toward content-based indexing and retrieval of brain images

Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Efficient clustering and quantisation of SIFT features: exploiting characteristics of the SIFT descriptor and interest region detectors under image inversion

Proceedings of the 1st ACM International Conference on Multimedia Retrieval
A linear-algebraic technique with an application in semantic image retrieval

CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval

Quantified Score

Hi-index	0.00

Visualization

Abstract

The vector-space retrieval model and Latent Semantic Indexing approaches to retrieval have been used heavily in the field of text information retrieval over the past years. The use of these approaches in image retrieval, however, has been somewhat limited. In this paper, we present methods for using these techniques in combination with an invariant image representation based on local descriptors of salient regions. The paper also presents an evaluation in which the two techniques are used to find images with similar semantic labels.