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When human subjects assess the quality of multimedia data, high level perceptual processes such as focus of attention (FoA) and eye movements are believed to play an important role in such tasks. While prior art reports incorporation of visual FoA into objective quality metrics, audio-visual FoA has been rarely addressed and utilized in spite of the importance and presence of both audio and video...
This paper proposes an efficient video coding method based on audio-visual attention, which is motivated by the fact that cross-modal interaction significantly affects humans' perception of multimedia content. First, we propose an audio-visual source localization method to locate the sound source in a video sequence. Then, its result is used for applying spatial blurring to video frames in order to...
Audio-visual speech recognition (AVSR) using acoustic and visual signals of speech has received attention because of its robustness in noisy environments. In this paper, we present a late integration scheme-based AVSR system whose robustness under various noise conditions is improved by enhancing the performance of the three parts composing the system. First, we improve the performance of the visual...
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