• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.29-32
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• 2014

영화의 다양한 정보들을 측정하고 씨네메트릭스와 관련된 기존의 연구들은 스토리 차원의 정보들을 활용하지 못하는 문제가 있다. 본 논문에서는 스토리 차원의 씨네메트릭스 연구를 위해 영화의 설계도와 같은 스크립트에 대한 데이터 수집과 분석을 가능케 하는 협업적 스크립트 분석 플랫폼을 제안하고 개발한다. 이를 위해 자동으로 스크립트를 파싱하고 사용자들이 협업적으로 결과물의 오류를 수정하여 분석 데이터로 활용할 수 있는 소프트웨어를 개발하고 제공하고자 한다. 따라서 사용자에 의해 오류가 수정되고 걸러지게 하여 완성도 높은 영화 데이터 축적을 가능케 하는 협업적 스크립트 분석 플랫폼의 구조를 제시하고, 구현 결과에 대해 설명한다.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.172-186
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• 2024

With the globalization of the film industry, ethnic minority films have been developed and studied by many scholars for their special ethnic representation. The film "Tharlo" directed by Pema Tseden carefully explores the identity anxiety of a Tibetan shepherd. Through the connection and separation between the protagonist and traditional culture, it shows a complexity of modern ethnic identity for minority people. This study explores what kind of cinematic techniques and symbolic elements the director uses to shape ordinary characters, build a narrative space, and show ethnic representation. This paper puts forward a theoretical framework combining cinematic quantitative methods with qualitative narrative and semiotic analysis, aiming to deepen our understanding of cinematic techniques and ethnic representation, and provides a new perspective and profound insights for discussing the complexity faced by ethnic minorities in contemporary films. This study finds that Tseden's "Tharlo" successfully portrays the complex transformation of Tibetan cultural identity in the context of globalization and modernization through cinematic techniques such as fixed camera positions, long take and black-and-white cinematography, combined with the use of symbolic elements like mirrors, lambs and identity cards.

• Journal of the Korea Society of Computer and Information
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• v.19 no.9
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• pp.93-101
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• 2014

Movie stories can be retrieved efficiently by analyzing a script, which is a blueprint of the movie. Although the movie script is described in the formatted structure of Final Draft, it is hard to restore the type without analyzing the story of the sentences since the scripts open on the website are mostly broken. For this purpose, it is necessary to develop and provide the web-based script analysis software so that users collaboratively and freely check and correct the errors in the results after automatically parsing the script. Hence, in this paper we suggest the structure of the web-based collaborative script analysis platform that enables users to modify and filter the type error of the script for high level of film data accumulation and performance evaluation for the implementation results is conducted. Through the experiment, accuracy of automatically parsing appears to be 64.95% and performance of modification by collaboration showed 99.58% of accuracy of parsing with errors mostly corrected after passing through 5 steps of modification.