Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Overview of VideoCLEF 2009: new perspectives on speech-based multimedia content enrichment
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
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2009 marked UAIC's first participation at the VideoCLEF evaluation campaign. Our group built two separate systems for the "Subject Classification" and "Affect Detection" tasks. For the first task we created two resources starting from Wikipedia pages and pages identified with Google and used two tools for classification: Lucene and Weka. For the second task we extracted the audio component from a given video file, using FFmpeg. After that, we computed the average amplitude for each word from the transcript, by applying the Fast Fourier Transform algorithm in order to analyze the sound. A brief description of our systems' components is given in this paper.