Profiling Director’s Style Based on Camera Positioning Using Fuzzy Logic

Junaedi, Hartarto; Hariadi, Mochamad; Purnama, I

doi:10.3390/computers7040061

Volume 7, Issue 4

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Computers 2018, 7(4), 61; https://doi.org/10.3390/computers7040061

Profiling Director’s Style Based on Camera Positioning Using Fuzzy Logic

Hartarto Junaedi^{1,2,3,†,‡,}*

, Mochamad Hariadi^1,2,‡

and I Ketut Eddy Purnama^1,2,‡

Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember Surabaya, Surabaya 60111, Indonesia

Department of Computer Engineering, Institut Teknologi Sepuluh Nopember Surabaya, Surabaya 60111, Indonesia

Department of Information System, Sekolah Tinggi Teknik Surabaya, Surabaya 60284, Indonesia

^†

Current address: Ngagel Jaya Tengah 73-77 Surabaya 60284, Indonesia.

^‡

These authors contributed equally to this work.

Author to whom correspondence should be addressed.

Received: 6 September 2018 / Revised: 29 October 2018 / Accepted: 2 November 2018 / Published: 14 November 2018

Full-Text | PDF [2757 KB, uploaded 14 November 2018] |

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Abstract

Machinima is a computer imaging technology typically used in games and animation. It prints all movie cast properties into a virtual environment by means of a camera positioning. Since cinematography is complementary to Machinima, it is possible to simulate a director’s style via various camera placements in this environment. In a gaming application, the director’s style is one of the most impressive cinematic factors, where a whole different gaming experience can be obtained using different styles applied to the same scene. This paper describes a system capable of automatically profile a director’s style using fuzzy logic. We employed 19 output variables and 15 other calculated variables from the animation extraction data to profile two different directors’ styles from five scenes. Area plots and histograms were generated, and, by analyzing the histograms, different director’s styles could be subsequently classified. View Full-Text

Keywords: director’s style; fuzzy logic; profiling; machinima

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