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Properties of optimally weighted data fusion in CBMIR
Wilkins, Peter; Smeaton, Alan F.; Ferguson, Paul
Content-Based Multimedia Information Retrieval (CBMIR) systems which leverage multiple retrieval experts (En ) of- ten employ a weighting scheme when combining expert re- sults through data fusion. Typically however a query will comprise multiple query images (Im ) leading to potentially N × M weights to be assigned. Because of the large number of potential weights, existing approaches impose a hierarchy for data fusion, such as uniformly combining query image results from a single retrieval expert into a single list and then weighting the results of each expert. In this paper we will demonstrate that this approach is sub-optimal and leads to the poor state of CBMIR performance in benchmarking evaluations. We utilize an optimization method known as Coordinate Ascent to discover the optimal set of weights (|En | · |Im |) which demonstrates a dramatic difference be- tween known results and the theoretical maximum. We find that imposing common combinatorial hierarchies for data fu- sion will half the optimal performance that can be achieved. By examining the optimal weight sets at the topic level, we observe that approximately 15% of the weights (from set |En | · |Im |) for any given query, are assigned 70%-82% of the total weight mass for that topic. Furthermore we discover that the ideal distribution of weights follows a log-normal distribution. We find that we can achieve up to 88% of the performance of fully optimized query using just these 15% of the weights. Our investigation was conducted on TRECVID evaluations 2003 to 2007 inclusive and ImageCLEFPhoto 2007, totalling 181 search topics optimized over a combined collection size of 661,213 images and 1,594 topic images.
Keyword(s): Multimedia systems; Information retrieval
Publication Date:
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Wilkins, Peter, Smeaton, Alan F. ORCID: 0000-0003-1028-8389 <> and Ferguson, Paul (2010) Properties of optimally weighted data fusion in CBMIR. In: SIGIR 2010 - 33rd international ACM SIGIR conference on Research and development in information retrieval, 19-23 July 2010, Geneva, Switzerland. ISBN 978-1-4503-0153-4
Publisher(s): Association for Computing Machinery
File Format(s): application/pdf
Related Link(s):,
First Indexed: 2010-07-29 05:06:14 Last Updated: 2019-02-09 06:55:04