A novel approach to enable semantic and visual image summarization for exploratory image search

Authors:
Jianping Fan;Yuli Gao;Hangzai Luo;Daniel A. Keim;Zongmin Li
Affiliations:
University of North Carolina at Charlotte, Charlotte, NC, USA;University of North Carolina at Charlotte, Charlotte, NC, USA;University of North Carolina at Charlotte, Charlotte, NC, USA;University of Konstanz, Konstanz, Germany;China University of Petroleum, Dongyong, China
Venue:
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Year:
2008

Citing 13
Cited 12

Nonlinear component analysis as a kernel eigenvalue problem

Neural Computation
The anatomy of a large-scale hypertextual Web search engine

WWW7 Proceedings of the seventh international conference on World Wide Web 7
Content-Based Image Retrieval at the End of the Early Years

IEEE Transactions on Pattern Analysis and Machine Intelligence
Visualization and User-Modeling for Browsing Personal Photo Libraries

International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Building a visual ontology for video retrieval

Proceedings of the 13th annual ACM international conference on Multimedia
Exploratory search: from finding to understanding

Communications of the ACM - Supporting exploratory search
Large-Scale Concept Ontology for Multimedia

IEEE MultiMedia
NNk networks and automated annotation for browsing large image collections from the world wide web

MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Summarization of online image collections via implicit feedback

Proceedings of the 16th international conference on World Wide Web
Unsupervised learning of a finite discrete mixture: Applications to texture modeling and image databases summarization

Journal of Visual Communication and Image Representation
Interactive access to large image collections using similarity-based visualization

Journal of Visual Languages and Computing
Incorporating Concept Ontology for Hierarchical Video Classification, Annotation, and Visualization

IEEE Transactions on Multimedia
Integrating Concept Ontology and Multitask Learning to Achieve More Effective Classifier Training for Multilevel Image Annotation

IEEE Transactions on Image Processing

High-entropy layouts for content-based browsing and retrieval

Proceedings of the ACM International Conference on Image and Video Retrieval
Multi Visualization and Dynamic Query for Effective Exploration of Semantic Data

ISWC '09 Proceedings of the 8th International Semantic Web Conference
An interactive approach for filtering out junk images from keyword-based google search results

IEEE Transactions on Circuits and Systems for Video Technology
Feature extraction and clustering for dynamic video summarisation

Neurocomputing
Discriminative codeword selection for image representation

Proceedings of the international conference on Multimedia
A classification based framework for concept summarization

Proceedings of the 20th international conference companion on World wide web
Image collection summarization for search result overviewing on mobile devices

IMMPD '11 Proceedings of the 2011 international ACM workshop on Interactive multimedia on mobile and portable devices
Text summarisation in progress: a literature review

Artificial Intelligence Review
Image search result summarization with informative priors

ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
A kernel-based framework for image collection exploration

Journal of Visual Languages and Computing
Automatic generation of textual image collection descriptions

Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
Hybrid image summarization by hypergraph partition

Neurocomputing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we have developed a novel scheme to incorporate topic network and representativeness-based sampling for achieving semantic and visual summarization and visualization of large-scale collections of Flickr images. First, topic network is automatically generated for summarizing and visualizing large-scale collections of Flickr images at a semantic level, so that users can select more suitable keywords for more precise query formulation. Second, the diverse visual similarities between the semantically-similar images are characterized more precisely by using a mixture-of-kernels and a representativeness-based image sampling algorithm is developed to achieve similarity-based summarization and visualization of large amounts of images under the same topic, so that users can find some particular images of interest more effectively. Our experiments on large-scale image collections with diverse semantics have provided very positive results.