Video Shot Characterization Using Principles of Perceptual Prominence and Perceptual Grouping in Spatio–Temporal Domain
TL;DR: A computational model for analyzing a video shot based on a novel principle of perceptual prominence that captures the key aspects of mise-en-scene required for characterizing a video scene.
Abstract: We present a novel approach for applying perceptual grouping principles to the spatio-temporal domain of video. Our perceptual grouping scheme, applied on blobs, makes use of a specified spatio-temporal coherence model. The grouping scheme identifies the blob cliques or perceptual clusters in the scene. We propose a computational model for analyzing a video shot based on a novel principle of perceptual prominence. The principle of perceptual prominence captures the key aspects of mise-en-scene required for characterizing a video scene.
Cites background from "Video Shot Characterization Using P..."
...Fromwhen it was initially conceived by the Gestalt psychologists  to now, perceptual grouping has evolved from the passive observation of human behavior to its inclusion in a wide-range of computer vision applications –....
"Video Shot Characterization Using P..." refers methods in this paper
...For scenes with stationary humans as foreground subjects, a face detector  is used to identify the frontal face regions in the scene....
"Video Shot Characterization Using P..." refers background in this paper
...Object centric descriptions facilitate an object oriented search , ....
...A film-maker or a painter uses the arrangement of the mise-en-scène  to direct our attention across the visualization space (a scene in space and time)....