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arXiv · 2205.03684

Timestamp-independent Haptic-Visual Synchronization

Yiwen Xu·Liangtao Huang·Tiesong Zhao·Liqun Lin·Ying Fang
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Abstract

The booming haptic data significantly improves the users'immersion during multimedia interaction. As a result, the study of Haptic,Audio-Visual Environment(HAVE)has attracted attentions of multimedia community. To realize such a system, a challenging tack is the synchronization of multiple sensorial signals that is critical to user experience. Despite of audio-visual synchronization efforts, there is still a lack of haptic-aware multimedia synchronization model. In this work, we propose a timestamp-independent synchronization for haptic-visual signal transmission. First, we exploit the sequential correlations during delivery and playback of a haptic-visual communication system. Second, we develop a key sample extraction of haptic signals based on the force feedback characteristics, and a key frame extraction of visual signals based on deep object detection. Third, we combine the key samples and frames to synchronize the corresponding haptic-visual signals. Without timestamps in signal flow, the proposed method is still effective and more robust to complicated network conditions. Subjective evaluation also shows a significant improvement of user experience with the proposed method.

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Yiwen Xu, Liangtao Huang, Tiesong Zhao, Liqun Lin, Ying Fang. 2022-05-07. Timestamp-independent Haptic-Visual Synchronization. https://arxiv.org/abs/2205.03684

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