UAIC: Participation in VideoCLEF Task.
Tudor-Alexandru Dobrilă, Mihail-Ciprian Diaconaşu, Irina-Diana Lungu, Adrian Iftene · CLEF (Working Notes) · 2009
This year marked UAIC’s first participation at the VideoCLEF competition. Our group built two separated systems for tasks “Subject Classification” and “Affect Detection”. For 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 extract the audio component from a given video file, with FFmpeg codec. After that, we computed the average intensity for each word from the transcript, by using Fast Fourier Transformations to analyze the sound. A brief description of our system components is given in this paper.