Video structure extraction is essential to automatic and contentbased organization, retrieval and browsing of video. However, while many robust shot segmentation algorithms have developed, it is still difficult to extract scene structures or group shots into scenes. In this paper, we present a novel audio assisted video segmentation scheme, in which audio and color information is integrated in ...

Conventional wisdom holds that the TCP like congestion control is unsuitable for real-time multimedia conferencing. However, our results clearly show that an audio and video conferencing system that transmits video over TCP (and audio over RTP/UDP) can provide significantly better audio quality to the end user than one built on RTP/UDP alone. We measured audio quality in terms of packet loss, p...

Chapter 3, “Fundamentals of Video Compression,” went into detail about how audio and video streams are encoded and decoded in a video conferencing system. However, the last processing step in the end-to-end chain involves ensuring that the decoded audio and video streams play with perfect synchronization. This chapter focuses on audio and video; however, video conferencing systems can synchroni...

Applications such as video classification, video summarization, video retrieval, highlight extraction, and so forth., need discriminating activities occurring in the video. Such activity or event detection in videos has significant consequences in security, surveillance, entertainment and personal archiving. Typical systems focus on the usage of visual cues. Audio cues, however, contains rich i...

Chapter 3, “Fundamentals of Video Compression,” went into detail about how audio and video streams are encoded and decoded in a video conferencing system. However, the last processing step in the end-to-end chain involves ensuring that the decoded audio and video streams play with perfect synchronization. This chapter focuses on audio and video; however, video conferencing systems can synchroni...