International audienceAutomatically analysing stylistic features in movies is a challenging task, as it requires an in-depth knowledge of cinematography. In the literature, only a handful of methods explore stylistic feature extraction, and they typically focus on limited low-level image and shot features (colour histograms, average shot lengths or shot types, amount of camera motion). These, however, only capture a subset of the stylistic features which help to characterise a movie (e.g. black and white vs. coloured, or film editing). To this end, in this work, we systematically explore seven high-level features for movie style analysis: character segmentation, pose estimation, depth maps, focus maps, frame layering, camera motion type and...
In film-making, the distance from the camera to the subject greatly affects the narrative power of a...
International audienceIdentifying human characters and how they are portrayed on-screen is inherentl...
In recent years, studies have estimated affective movie content computationally with stylistic featu...
International audienceAutomatically analysing stylistic features in movies is a challenging task, as...
BackgroundIn this paper we present a model of parameters to aesthetically characterize films using a...
International audienceThis paper presents an open database of annotated film clips together with an ...
BackgroundIn this paper we present a model of parameters to aesthetically characterize films using a...
Film genres in digital video can be detected automatically. In a three-step approach we analyze firs...
Film genres in digital video can be detected automatically. In a three-step approach we analyze firs...
[[abstract]]In this paper, we propose an approach to category the film kinds using low-level feature...
This paper presents a framework for the classification of feature films into genres, based only on c...
This paper presents a framework for the classification of feature films into genres, based only on c...
This essay shows how face detection and recognition algorithms, applied to frames extracted from a c...
Figure 1: The leftmost input photo is altered with color styles horror, happy, David Fincher, and We...
In film-making, the distance from the camera to the subject greatly effects the narrative power of a...
In film-making, the distance from the camera to the subject greatly affects the narrative power of a...
International audienceIdentifying human characters and how they are portrayed on-screen is inherentl...
In recent years, studies have estimated affective movie content computationally with stylistic featu...
International audienceAutomatically analysing stylistic features in movies is a challenging task, as...
BackgroundIn this paper we present a model of parameters to aesthetically characterize films using a...
International audienceThis paper presents an open database of annotated film clips together with an ...
BackgroundIn this paper we present a model of parameters to aesthetically characterize films using a...
Film genres in digital video can be detected automatically. In a three-step approach we analyze firs...
Film genres in digital video can be detected automatically. In a three-step approach we analyze firs...
[[abstract]]In this paper, we propose an approach to category the film kinds using low-level feature...
This paper presents a framework for the classification of feature films into genres, based only on c...
This paper presents a framework for the classification of feature films into genres, based only on c...
This essay shows how face detection and recognition algorithms, applied to frames extracted from a c...
Figure 1: The leftmost input photo is altered with color styles horror, happy, David Fincher, and We...
In film-making, the distance from the camera to the subject greatly effects the narrative power of a...
In film-making, the distance from the camera to the subject greatly affects the narrative power of a...
International audienceIdentifying human characters and how they are portrayed on-screen is inherentl...
In recent years, studies have estimated affective movie content computationally with stylistic featu...