Interactive High Quality Video Streaming via Coequal Support Video Transcoder

The most challenging problem in video transcoding is to determine the spatial resolution, given a target bit rate. The spatial resolution (i.e., frame size), chronological resolution (i.e., frame rate), and amplitude (i.e., SNR) are classically excluded during the quantization step size (QS) to code the video. In video streaming, similar video is regularly requested by receivers at different sustainable receiving rates. Research works on Distortion-Quantization (D-Q) and Distortion-Rate (D-R) model was developed to enhance the source model using two-pass rate control method. D-Q and D-R model for H.264 variable bit rate coding does not provide constant video quality provided with the target rate constraint in practical video coding systems. On the other hand, the frame rate and quantization on the bit rate (QBR) provided rate constraint efficiently and effectively on both the sides of the encoder and decoder. The receiver solves the problem related to rate-constrained SVC adaptation by assuming spatial resolution with irregular perceptual video quality as output. To maintain the quality of video in a constant manner, Coequal Support Video Transcoding (CSVT) technique is developed. Coequal Support Video Transcoding enables effective transcoding in overlay streaming with constant video quality. First, CSVT leverages active co-equal cooperation without demanding infrastructure support such as a transcoding server. Second, as transcoding is computationally extreme with different types of devices used by participating nodes with minimal computing power and related resources such as bandwidth, an additional overlay called Meta-Video transcoding approach is also constructed in CSVT. The Meta-Video transcoding approach in CSVT instantly share the intermediate transcoding to minimize the total computing overhead .Experimental results collected within a realistically simulated test bed measures the factors such as video quality, PSNR rate, CPU overhead, processing time, bit rate and transmission cost.