The present study is a theoretical attempt to illustrate how Fillmore's Scenes and Frames Semantics (SFS) could be employed as a framework to portray the process of understanding and translating hybrid texts. It first reviews the origin of SFS; then it maps SFS onto Nida’s linguistic model of translation process and the Interpretive Theory of Translation; it examines in the next section, withi...

In the present study, we tested the extent to which observers use dynamic information to detect targets in natural scenes. For this purpose, we used composite stimuli in which target sequences were superimposed onto distractor sequences. We varied target visibility in the composite sequence, and the presence or absence of motion. Across four experiments, we found a dynamic advantage for target ...

In video post-production applications, camera motion analysis and alignment are important in order to ensure the geometric correctness and temporal consistency. In this paper, we trade some generality in estimating and aligning camera motion for reduced computational complexity and increased image-based nature. The main contribution is to use fundamental ratios to synchronize video sequences of...

Functional models of the early visual system should predict responses not only to simple artificial stimuli but also to sequences of complex natural scenes. An ideal testbed for such models is the lateral geniculate nucleus (LGN). Mechanisms shaping LGN responses include the linear receptive field and two fast adaptation processes, sensitive to luminance and contrast. We propose a compact funct...

In this work, we propose a robust visual odometry system for RGBD sensors. The core of our method is a combination of edge images and depth maps for joint camera pose estimation. Edges are more stable under varying lighting conditions than raw intensity values and depth maps further add stability in poorly textured environments. This leads to higher accuracy and robustness in scenes, where feat...

Abstract We introduce the first approach to solve challenging problem of automatic 4D visual scene understanding for complex dynamic scenes with multiple interacting people from multi-view video. Our simultaneously estimates a detailed model that includes per-pixel semantically and temporally coherent reconstruction, together instance-level segmentation exploiting photo-consistency, semantic mo...

Segmentation of video into shots and scenes in the compressed domain allows rapid, real-time analysis of video content using standard hardware. This paper presents robust techniques for parsing MPEG-compressed video sequences into shots based on their physical structure and further into scenes based on their semantic structure by identifying changes in content and camera motion. The analysis is...