DC Field | Value | Language |
---|---|---|
dc.contributor.author | KIM, SUZI | ko |
dc.contributor.author | Choi, Sunghee | ko |
dc.date.accessioned | 2020-06-11T01:20:23Z | - |
dc.date.available | 2020-06-11T01:20:23Z | - |
dc.date.created | 2020-06-04 | - |
dc.date.issued | 2020-06-08 | - |
dc.identifier.citation | ICMR '20: International Conference on Multimedia Retrieval, pp.154 - 163 | - |
dc.identifier.uri | http://hdl.handle.net/10203/274604 | - |
dc.description.abstract | A color scheme is an association of colors, i.e., a subset of all possible colors, that represents a visual identity. We propose an automated method to extract a color scheme from a movie. Since a movie is a carefully edited video with different objects and heterogeneous content embodying the director's messages and values, it is a challenging task to extract a color scheme from a movie as opposed to a general video filmed at once without distinction of shots or scenes. Despite such challenges, color scheme extraction plays a very important role in film production and application. The color scheme is an interpretation of the scenario by the cinematographer and it can convey a mood or feeling that stays with the viewer after the movie has ended. It also acts as a contributing factor to describe a film, like the metadata fields of a film such as a genre, director, and casting. Moreover, it can be automatically tagged unlike metadata, so it can be directly applied to the existing movie database without much effort. Our method produces a color scheme from a movie in a bottom-up manner from segmented shots. We formulate the color extraction as a selection problem where perceptually important colors are selected using saliency. We introduce a semi-master-shot, an alternative unit defined as a combination of contiguous shots taken in the same place with similar colors. Using real movie videos, we demonstrate and validate the plausibility of the proposed technique. | - |
dc.language | English | - |
dc.publisher | International Foundation for Autonomous Agents and Multiagent Systems | - |
dc.title | Automatic Color Scheme Extraction from Movies | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 154 | - |
dc.citation.endingpage | 163 | - |
dc.citation.publicationname | ICMR '20: International Conference on Multimedia Retrieval | - |
dc.identifier.conferencecountry | IE | - |
dc.identifier.conferencelocation | Dublin Ireland | - |
dc.identifier.doi | 10.1145/3372278.3390685 | - |
dc.contributor.localauthor | Choi, Sunghee | - |
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