ACM Computing Surveys (CSUR)
ACM Computing Surveys (CSUR)
Multiple Classifier Combination Methodologies for Different Output Levels
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Efficient similarity search and classification via rank aggregation
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Dynamic similarity search in multi-metric spaces
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
A New Shape Benchmark for 3D Object Retrieval
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Reciprocal rank fusion outperforms condorcet and individual rank learning methods
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
SHREC'09 track: generic shape retrieval
EG 3DOR'09 Proceedings of the 2nd Eurographics conference on 3D Object Retrieval
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In this work, we present two algorithms to improve the effectiveness of multimedia retrieval. One, as earlier approaches, uses several retrieval methods to improve the result, and the other uses one single method to achieve higher effectiveness. One of the advantages of the proposed algorithms is that they can be computed efficiently in top of existing indexes. Our experimental evaluation over 3D object datasets shows that the proposed techniques outperforms the multimetric approach and previously existing rank fusion methods.