Algorithms for clustering data
Algorithms for clustering data
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Retrieval
Feature Extraction, Construction and Selection: A Data Mining Perspective
Feature Extraction, Construction and Selection: A Data Mining Perspective
Machine Learning
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Constructing X-of-n Attributes With A Genetic Algorithm
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
An introduction to variable and feature selection
The Journal of Machine Learning Research
An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
Not So Naive Bayes: Aggregating One-Dependence Estimators
Machine Learning
Towards effective indexing for very large video sequence database
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
IIiX Proceedings of the 1st international conference on Information interaction in context
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Promoting emergence in information discovery by representing collections with composition
Proceedings of the 6th ACM SIGCHI conference on Creativity & cognition
Studying the use of popular destinations to enhance web search interaction
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Analysis of online video search and sharing
Proceedings of the eighteenth conference on Hypertext and hypermedia
Evaluating the implicit feedback models for adaptive video retrieval
Proceedings of the international workshop on Workshop on multimedia information retrieval
Computers and Electronics in Agriculture
Comparison of CBIR Systems with Different Number of Feature Vector Components
SMAP '07 Proceedings of the Second International Workshop on Semantic Media Adaptation and Personalization
A faceted interface for multimedia search
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
FacetBrowser: a user interface for complex search tasks
MM '08 Proceedings of the 16th ACM international conference on Multimedia
An efficient indexing structure for multimedia data
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Study of context influence on classifiers trained under different video-document representations
Information Processing and Management: an International Journal
Hi-index | 0.00 |
In this paper we explore the limitations of facet based browsing which uses sub-needs of an information need for querying and organising the search process in video retrieval. The underlying assumption of this approach is that the search effectiveness will be enhanced if such an approach is employed for interactive video retrieval using textual and visual features. We explore the performance bounds of a faceted system by carrying out a simulated user evaluation on TRECVid data sets, and also on the logs of a prior user experiment with the system. We first present a methodology to reduce the dimensionality of features by selecting the most important ones. Then, we discuss the simulated evaluation strategies employed in our evaluation and the effect on the use of both textual and visual features. Facets created by users are simulated by clustering video shots using textual and visual features. The experimental results of our study demonstrate that the faceted browser can potentially improve the search effectiveness.