A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
LAPI at MediaEval 2017 - Predicting Media Interestingness
2017
MediaEval Benchmarking Initiative for Multimedia Evaluation
In the following paper we will present our contribution, approach and results for the MediaEval 2017 Predicting Media Interestingness task. We studied several visual descriptors and created several early and late fusion approaches in our machine learning system, optimized for best results for this benchmarking competition.
dblp:conf/mediaeval/ConstantinBI17
fatcat:hpxpjyjmcjaz3fiafujrnztsyq