research-article

Automatic Color Scheme Extraction from Movies

Authors:

Sunghee ChoiAuthors Info & Claims

ICMR '20: Proceedings of the 2020 International Conference on Multimedia Retrieval

Pages 154 - 163

https://doi.org/10.1145/3372278.3390685

Published: 08 June 2020 Publication History

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.

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https://doi.org/10.1109/TVCG.2022.3226218
Han JLee Y(2024)Image sentiment considering color palette recommendations based on influence scores for image advertisementElectronic Commerce Research10.1007/s10660-024-09851-4Online publication date: 9-May-2024
https://doi.org/10.1007/s10660-024-09851-4
Istead LPocol ASiu SChen WZdanowicz ARowaan AKaplan C(2022)The Colour of HorrorProceedings of the 19th ACM SIGGRAPH European Conference on Visual Media Production10.1145/3565516.3565523(1-8)Online publication date: 1-Dec-2022
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Index Terms

Automatic Color Scheme Extraction from Movies
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Interest point and salient region detections
        Video segmentation
  2. Computer graphics
    1. Graphics systems and interfaces
      1. Perception
    2. Image manipulation
      1. Image processing
2. Information systems
  1. Information retrieval
    1. Specialized information retrieval
      1. Multimedia and multimodal retrieval
        Video search

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cover image ACM Conferences

ICMR '20: Proceedings of the 2020 International Conference on Multimedia Retrieval

June 2020

605 pages

ISBN:9781450370875

DOI:10.1145/3372278

General Chairs:
Cathal Gurrin
Dublin City University, Ireland
,
Björn Þór Jónsson
IT University of Copenhagen, Denmark
,
Noriko Kando
National Institute of Informatics, Tokyo
,
Program Chairs:
Klaus Schoeffmann
Klagenfurt University, Austria
,
Phoebe Chen
La Trobe University, Australia
,
Noel E. O'Connor
Dublin City University, Ireland

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ICMR '20: International Conference on Multimedia Retrieval

June 8 - 11, 2020

Dublin, Ireland

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Cited By

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https://doi.org/10.1109/TVCG.2022.3226218
Han JLee Y(2024)Image sentiment considering color palette recommendations based on influence scores for image advertisementElectronic Commerce Research10.1007/s10660-024-09851-4Online publication date: 9-May-2024
https://doi.org/10.1007/s10660-024-09851-4
Istead LPocol ASiu SChen WZdanowicz ARowaan AKaplan C(2022)The Colour of HorrorProceedings of the 19th ACM SIGGRAPH European Conference on Visual Media Production10.1145/3565516.3565523(1-8)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1145/3565516.3565523
Du ZLei KXu KTan JGingold Y(2021)Video recoloring via spatial-temporal geometric palettesACM Transactions on Graphics10.1145/3476576.347673040:4(1-16)Online publication date: Aug-2021
https://doi.org/10.1145/3476576.3476730
kim SChoi S(2021)Dynamic closest color warping to sort and compare palettesACM Transactions on Graphics10.1145/3450626.345977640:4(1-15)Online publication date: 19-Jul-2021
https://dl.acm.org/doi/10.1145/3450626.3459776
Du ZLei KXu KTan JGingold Y(2021)Video recoloring via spatial-temporal geometric palettesACM Transactions on Graphics10.1145/3450626.345967540:4(1-16)Online publication date: 19-Jul-2021
https://dl.acm.org/doi/10.1145/3450626.3459675

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