Research On Embedded Real-Time Video Transmission System Realizing Technology | Posted on:2006-05-03 | Degree:Master | Type:Thesis | Country:China | Candidate:Z W Yang | Full Text:PDF | GTID:2168360152971654 | Subject:Pattern Recognition and Intelligent Systems | Abstract/Summary: | PDF Full Text Request | It is very important to use video as its huge information. For efficiently using video information, we have to face to several problems. How can we get the original video in high visual quality? How to transmit the video information in stable and robust way and how to understand the video information? In other words, video capturing, video communication and video understanding should be integrated for video information utilization.Video communication is not only the inter step but also the more important step in video information application. This paper provides a skeleton for embedded real-time video transmission. Based on the skeleton, the video capturing module, video coding and decoding module, communication controlling and protocol transacting module also is discussed in detail. For efficiently transmit video stream, we point out that the original video information should be encoded for communication and furthermore should make use of joint source and channel encoding and decoding technology for robust transmission and application. We also show that in the receiver error concealment and error resilience should be adopted for maximum using of the rightly received video stream data.The foundation function of the communication controlling and protocol transacting module is how to provide less transmission delay and smooth delay jitter and how to ensure the fairness between video stream and traditional data stream. This paper also introduces a new adaptive video stream congestion control algorithm for end-to-end application (New-AVSP). We define wave flatness parameter and wave variable markedness parameter, and then provide a method for RTT (Round Trip Time) estimation which using flatness parameter and markedness parameter by moving window average way (FMMA). Calculating the available bandwidth at the current time based on RTT and packet loss ration. Then we give an available bandwidth based parameter adaptive moving average algorithm (BPAMA) for send rate control. By contrast with the traditional congestion control method, the simulation results show that the algorithm which we improved has the faster converges rate on the condition of step variety and the smooth ability when wave jitter. | Keywords/Search Tags: | Video Communication, Source Encoding, Joint Source and Channel Encoding, Error Concealment, Congestion Control, Round Trip Time, Transmission Control Protocol | PDF Full Text Request | Related items |
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