Modern Information Retrieval
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Video classification as IR task: experiments and observations
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
| Hi-index | 0.00 |
This paper describes the participation of MIRACLE research consortium at the VideoCLEF track at CLEF 2008. We took part in both the main mandatory Classification task (classify videos of television episodes using speech transcripts and metadata) and the Keyframe Extraction task (select key-frames that represent individual episodes from a set of supplied keyframes). Our system for the first task is composed of two main blocks: the core system knowledge base and the set of operational elements that are needed to classify the speech transcripts of the topic episodes and generate the output in RSS format. For the second task, our approach is based on the assumption that the most representative fragment (shot) of each episode is the one with the lowest distance to the whole episode, considering a vector space model. In the classification task, our runs ranked 3rd (out of 6 participants) in terms of precision.