Title :
Pivot vector space approach for audio-video mixing
Author :
Mulhem, Philippe ; Kankanhalli, Mohan S. ; Yi, Ji ; Hassan, Hadi
Author_Institution :
Nat. Center of Sci. Res., Grenoble, France
Abstract :
An audio-mixing artist usually adds the musical accompaniment to video. Employing such artists is expensive and not feasible for a home video presentation. Our automatic audio-video mixing technique is suited for home videos. It uses a pivot vector space mapping method that matches video shots with music segments based on aesthetic cinematographic heuristics.
Keywords :
audio signal processing; cinematography; feature extraction; image matching; video signal processing; aesthetic cinematographic heuristics; automatic audio-video mixing; home videos; media sequence matching; perceptual features extraction; pivot vector space mapping; video shot matching; Computational efficiency; Feature extraction; Graphics; High definition video; Layout; Optimization methods; Rhythm; Shape; Timbre; Video equipment;
Journal_Title :
MultiMedia, IEEE
DOI :
10.1109/MMUL.2003.1195159