Semantic based video transcoding architectures for quality of service applications in mobile and wireless video communication

To deliver streaming video over wireless networks is an important component for most interactive multimedia applications running on personal wireless handset devices. Delay variation of packets due to network congestion with the high bit error rate lessens the quality of video at the handheld device. We present several efficient mechanisms for improving the quality of service (QoS) delivered to the client, by deploying content based transcoding schemes. The proposed approaches are performing the required transcoding based on the video content. Some approaches study the texture and temporal features. Other approaches perform object detection in order to determine the important objects to achieve Extensive experiments have been conducted, and the results of various video clips with different bit rate and frame rate have been provided.