Movie barcode as support for video analysis and film restoration


A movie barcode is a graph where the colors used in each frame are extracted and represented in succession. Since it is very intuitive, this tool is mainly used to represent movies and videos artistically and creatively. In this study, we propose the use of movie barcodes with a scientific and colorimetric approach, to summarize in a single image the chromatic variations of a movie. Thanks to this approach, it has been possible to extract movies chromatic mood boards and make comparisons among videos or different versions of the same video. The main potential of this approach is the possibility to study and test different methods of video enhancement and color correction, which could be useful not only in video processing but also in the domain of digital film restoration.


Movie Barcodes; Color in Film; Film Restoration; Color and Cinema

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Barricelli, B. R., Casiraghi, E., Lecca, M., Plutino, A., & Rizzi, A. (2020). A cockpit of multiple measures for assessing film restoration quality. Pattern Recognition Letters, 131(2020), 178-184.

Black Magic Design. (2021, October 22). Da Vinci Resolve. Retrieved from

Chen, Y., Faden, E., & Ryan, N. C. (2021). KALMUS: tools for color analysis of films. Journal of Open Source Software, 6(61), 3156.

Clark, C. (2021, November 05). The Colors of Motion. Retrieved from

Cohen-Kalaf, M., Lanir, J., Bak, P., & Mokryn, O. (2021). Movie emotion map: an interactive tool for exploring movies according to their emotional signature. Multimedia Tools and Applications, 1- 22.

Davis, H. (2019). Creative Black and White: Digital Photography Tips and Techniques. San Rafael, CA: Rocky Nook, Inc.

Enticknap, L. (2013). Film Restoration - The Culture and Science of Audiovisual Heritage. London, UK: Palgrave Mcmillan.

Fossati, G. (2013). Obsolescence and Film Restoration: The Case of Colored Silent Films. Conserver l’art contemporain à l’ère de l’obsolescence technologique. TECHNE 37(2013), 102-106.

Gatta, C., Rizzi, A., & Marini, D. (2002). ACE: An automatic color equalization algorithm. In Conference on colour in graphics, imaging, and vision (pp. 316-320). Springfield, USA: Society for Imaging Science and Technology.

Genaitay, S., & Dixon, B. (2010). Early colour film restoration at the BFI National Archive. Journal of British Cinema and Television, 7(1), 131-146.

Gray, T. (2021, November 05). A Visit to Disney’s Magic Kingdom. Retrieved from

Kolås, Ø., Farup, I., & Rizzi, A. (2011). Spatio-Temporal Retinex-Inspired Envelope with Stochastic Sampling: A Framework for Spatial Color Algorithms. Journal of Imaging Science and Technology, 55(4), 40503-1-40503-10(10).

Mazzanti, N. (2012). Chromatic Cinema: a history of screen colour. Milton Park, UK: Taylor & Francis.

Mazzanti, N. (2018). A film is a it not? . In U. Holl, I. Kaldrack, E. Welinder, C. Miksch, & E. S. Stutz (Eds.), Oberflächen und Interfaces (pp. 221 - 236). Paderborn, Germany: Wilhelm Fink Verlag.

Old Films and Stuff. (2021, November 03). Robert W Paul - The (?) Motorist - 1906. Retrieved from YouTube:

Otto, I., Plutino, A., Lanaro, M., & Rizzi, A. (2018). All the Colours of a Film: a study on the Chromatic Variation of Movies. In AIC Colours and Human Comfort, Lisboa (Portugal), 29-29 September 2018.

Plutino, A. (2020). Tecniche di Restauro Cinematografico - Metodi e Pratiche tra Analogico e Digitale. Roma: Dino Audino.

Plutino, A., & Rizzi, A. (2020). Alternative Methods for Digital Contrast Restoration. Imagine Math, 7, 73-87.

Plutino, A., & Rizzi, A. (2021). Research directions in color movie restoration. Coloration Technol., 137, 78-82.

Plutino, A., Bellotti, S., Lombardi, C., Guerrini, P., & Rizzi, A. (2018). The Funerals of the Bombing of Piazza della Loggia in Brescia: an example of rescue of an historical and amatorial document. In L. Campanella, C. Piccioli, A. Rendina, V. Romanelli (Eds.), AIES - Diagnosis for the Conservation and Valorization of Cultural Heritage (pp. 121-138). Napoli: Cervino Edizioni.

Plutino, A., Lanaro, M., Liberini, S., & Rizzi, A. (2019). Work memories in Super 8: Searching a frame quality metric for movie restoration. Journal of Cultural Heritage, 41(2020), 238-248.

Rizzi, A. B., Bonanomi, C., & Gadia, D. (2016). Unsupervised digital movie restoration with spatial models of color. Multimedia Tools and Applications, 7(75), 3747–3765.

Rizzi, A., & Bonanomi, C. (2017). Milano Retinex family. Journal of Electronic Imaging, 26(3), 031207-1 - 031207-7

Tumblr. (2021, 11 05). Moviebarcode. Retrieved from

Wang, J., Li, B., Hu, W., & Wu, O. (2010). Horror movie scene recognition based on emotional perception. In 2010 IEEE International Conference on Image Processing, (pp. 1489 - 1492). Hong Kong: IEEE.

Wilms, L., & Oberfeld, D. (2018). Color and emotion: effects of hue, saturation, and brightness. Psychological research, 82(5), 896 - 914.

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