Abstract
In this paper, we run our content-based video genre classification system on the MediaEval evaluation corpus. Our system is based on several low level audio-visual cues, as well as cognitive and structural information. The purpose of this evaluation is to assess our content-based system's performance on the diversified content of the blip.tv web-video corpus, which is described in detail in [5].
Original language | English (US) |
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Journal | CEUR Workshop Proceedings |
Volume | 807 |
State | Published - 2011 |
Event | Multimedia Benchmark Workshop, MediaEval 2011 - Pisa, Italy Duration: Sep 1 2011 → Sep 2 2011 |
Keywords
- Content-based features
- Genre classification
ASJC Scopus subject areas
- General Computer Science