Term selection and query operations for video retrieval

Authors:
Bouke Huurnink;Maarten De Rijke
Affiliations:
ISLA, University of Amsterdam, Amsterdam, The Netherlands;ISLA, University of Amsterdam, Amsterdam, The Netherlands
Venue:
ECIR'07 Proceedings of the 29th European conference on IR research
Year:
2007

Citing 6
Cited 1

An algorithm for suffix stripping

Readings in information retrieval
Monolingual Document Retrieval for European Languages

Information Retrieval
Character N-Gram Tokenization for European Language Text Retrieval

Information Retrieval
The effectiveness of combining information retrieval strategies for European languages

Proceedings of the 2004 ACM symposium on Applied computing
TRECVID: evaluating the effectiveness of information retrieval tasks on digital video

Proceedings of the 12th annual ACM international conference on Multimedia
Boosting web retrieval through query operations

ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research

The value of stories for speech-based video search

Proceedings of the 6th ACM international conference on Image and video retrieval

Quantified Score

Hi-index	0.00

Visualization

Abstract

We investigate the influence of term selection and query operations on the text retrieval component of video search. Our main finding is that the greatest gain is to be found in the combination of character n-grams, stemmed text, and proximity terms.