Dmitriy Vatolin

Learn More
In this paper we propose a novel super-resolution algorithm based on motion compensation and edge-directed spatial interpolation succeeded by fusion via pixel classification. Two high-resolution images are constructed, the first by means of motion compensation and the second by means of edge-directed interpolation. The AdaBoost classifier is then used to(More)
Creating and processing stereoscopic video imposes additional quality requirements related to view synchronization. In this work we propose a set of algorithms for detecting typical stereoscopic-video problems, which appear owing to imprecise setup of capture equipment or incorrect postprocessing. We developed a methodology for analyzing the quality of S3D(More)
Automatic analysis of stereo-video quality plays an important role in the process of capturing, converting and editing video in 3D format. Although several low-level stereo-video quality metrics were proposed, a lot more challenging problems of high-level stereo-video analysis, such as left-right channel swap detection, are still practically unsearched. The(More)
This research aims to sufficiently increase the quality of visual-attention modeling to enable practical applications. We found that automatic models are significantly worse at predicting attention than even single-observer eye tracking. We propose a semiautomatic approach that requires eye tracking of only one observer and is based on time consistency of(More)
In this paper we describe our methods for estimating stereo video quality and its suitability for certain displays and projectors. The first issue we investigate is that not every 3D video can be viewed comfortably on a given 3D display owing to its particular features, especially parallax. The second issue is the correspondence between left and right(More)
In this paper, we address the problem of stereo-video quality assessment. We introduce objective no-reference metrics for automatic color-and sharpness-mismatch detection in video captured using stereo cameras. The algorithms are based on view matching and reconstruction. A fast block-based color-independent algorithm for stereo matching is proposed. We(More)
Despite recent progress in the field of video matting, neither public data sets nor even a generally accepted method of measuring quality has yet emerged. In this paper we present an online benchmark for video-matting methods. Using chroma keying and a reflection-aware stop-motion capturing procedure, we prepared 12 test sequences. Then, using subjective(More)