  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.
