As more multimedia services have become increasingly available over networks where bandwidth is not always guaranteed, quality monitoring has become an important issue. For instance, quality of experience and quality monitoring have become important problems in internet protocol television applications, since transmission errors may introduce all kinds of additional video quality degradations. In this paper, we present a reduced-reference objective model for video quality measurements in multimedia applications. The proposed method first measures edge degradations that are critical for perceptual video quality and then considers transmission error effects. We compared the proposed method with some existing methods. Independent verifications confirmed that the proposed method showed good performance and consequently it was included in an International Telecommunication Union recommendation. The proposed method can be used to monitor video quality at receivers while requiring minimum usage of additional bandwidth.
Objective video quality measurement has become an important issue, as multimedia services are now widely available over the Internet and other wireless communication media. Traditionally, professional CRT monitors have been used to measure subjective video quality. However, the majority of users have LCD, plasma display panel (PDP), or consumer-graded CRT monitors. We compared the subjective video quality of various TV and LCD PC monitors. Subjective tests were performed with a wide range of video sequences using different monitors, and their correlations were analyzed. Although there were high correlations among the various display monitors, care should be taken in selecting a monitor for certain applications.
Neural network de-interlacing has shown promising results among various de-interlacing methods. In this paper, we
investigate the effects of input size for neural networks for various video formats when the neural networks are used for
de-interlacing. In particular, we investigate optimal input sizes for CIF, VGA and HD video formats.
Interlaced scanning has been widely used in most broadcasting systems. However, there are some undesirable artifacts
such as jagged patterns, flickering, and line twitters. Moreover, most recent TV monitors utilize flat panel display
technologies such as LCD or PDP monitors and these monitors require progressive formats. Consequently, the
conversion of interlaced video into progressive video is required in many applications and a number of deinterlacing
methods have been proposed. Recently deinterlacing methods based on neural network have been proposed with good
results. On the other hand, with high resolution video contents such as HDTV, the amount of video data to be processed
is very large. As a result, the processing time and hardware complexity become an important issue. In this paper, we
propose an efficient implementation of neural network deinterlacing using polynomial approximation of the sigmoid
function. Experimental results show that these approximations provide equivalent performance with a considerable
reduction of complexity. This implementation of neural network deinterlacing can be efficiently incorporated in HW
In this paper, we present comparison of three subjective testing methods: the double stimulus continuous quality scale (DSCQS) method, the single stimulus continuous quality evaluation (SSCQE) method and the absolute category rating (ACR) method. The DSCQS method was used for validate objective models in the VQEG Phase II FRTV test. The SSCQE method is chosen to be used in the VQEG RRTV test. The ACR method is chosen to be used in the VQEG Multimedia test. Since a different subjective test method is used in each test, analyses of the three methods will provide helpful information in understanding human perception of video quality.
In this paper, we investigate video quality on various LCD monitors. There exists a large variance in video quality among various LCD monitors. Due to this unavoidable variance in LCD monitors, there has been a concern about the stability and repeatability of subjective and objective testing for LCD monitors. We performed subjective testing the DSCQS method and compare subjective quality ratings on the 5 LCD monitors. The experimental results show that the correlation coefficients among DMOS’s with respect to each monitor are acceptably high. Thus, it may be possible to develop models for objective measurement of video quality on LCD monitors. In the paper, physical parameters such as color temperature, contrast, brightness, response time, etc will be presented and thorough analyses will be provided.