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Assessing concept selection for video retrieval
2008
Proceeding of the 1st ACM international conference on Multimedia information retrieval - MIR '08
We explore the use of benchmarks to address the problem of assessing concept selection in video retrieval systems. Two benchmarks are presented, one created by human association of queries to concepts, the other generated from an extensively tagged collection. They are compared in terms of reliability, captured semantics, and retrieval performance. Recommendations are given for using the benchmarks to assess concept selection algorithms; the assessment is demonstrated on two existing
doi:10.1145/1460096.1460170
dblp:conf/mir/HuurninkHR08
fatcat:h7mlbl52enb6pgtxfbi5b7dsry