Statistically based buffer control policies for constant rate transmission of compressed digital video

A rate control scheme using Kalman filtering for H.263

“…Earlier bit-rate control works just like TMN5 [9] only exploited the empirically linear functions to simply avoid the buffer overflow such that relatively significant information will be randomly dropped in playback videos. Hence, the methods using certain distortion policies [10,14] developed the approximated rate-distortion models based on offline statistics to control distortions. For obtaining the reliable solution, the rate control in [8,11,13,14] leaves the QP decision of rate-distortion in solving the constrained-optimization problem to use the Lagrange theory.…”

“…A significant opportunity opened to improve the playback video quality is to invoke an effective bit-rate controller in the encoder [3][4][5][6][7][8][9][10][11][12][13][14]. Basically, a modern rate controller shall be able to achieve high the average peak signal-to-noise ratio (PSNR) and perceptual qualities, and further harmonize visual qualities and buffer occupancies via the selection of quantization settings (QP values) at a given bandwidth [7,8,12,14].…”

Comments on "On the invertibility of morphological representation of binary images" [with reply]

“…5) In other words, the criterion requires that the opening of It is to be noted that the image X can be reconstructed as…”

Development of Android App for Smooth Multimedia Streaming Service via Portable Media File Format

“…Android Operating System other methods that classify macro blocks by considering human visual characteristics [15] and use the bit ratio-distortion model [16] were proposed. In this paper, as shown in Figure 1, we note that two representative system structures can be used for collecting the screen information on Android operating system.…”