• Journal of Broadcast Engineering
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• v.27 no.4
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• pp.519-526
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• 2022

Identifying and searching for characters appearing in scenes during multimedia video editing is an arduous and time-consuming process. Applying artificial intelligence to labor-intensive media editing tasks can greatly reduce media production time, improving the creative process efficiency. In this paper, a method is proposed which combines existing artificial intelligence based techniques to automate character recognition and search tasks for video editing. Object detection, face detection, and pose estimation are used for character localization and face recognition and color space analysis are used to extract unique representation information.

• Journal of the Korea Society of Computer and Information
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• v.18 no.9
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• pp.131-138
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• 2013

In this paper, I propose and evaluate the method that classifies emotional type of characters with their emotional words. Emotional types are classified as three types such as positive, negative and neutral. They are selected by classification of emotional words that characters speak. I propose the method to extract emotional words based on WordNet, and to represent as emotional vector. WordNet is thesaurus of network structure connected by hypernym, hyponym, synonym, antonym, and so on. Emotion word is extracted by calculating its emotional distance to each emotional category. The number of emotional category is 30. Therefore, emotional vector has 30 levels. When all emotional vectors of some character are accumulated, her/his emotion of a movie can be represented as a emotional vector. Also, thirty emotional categories can be classified as three elements of positive, negative, and neutral. As a result, emotion of some character can be represented by values of three elements. The proposed method was evaluated for 12 characters of four movies. Result of evaluation showed the accuracy of 75%.

• Journal of the Korea Society of Computer and Information
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• v.11 no.5 s.43
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• pp.337-343
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• 2006

The number of digital camera users is increasing rapidly and countless number of photos floats about on the internet especially through wide-spreading Cyworld and blogs. Though portraits cover a large percentage of those photos, because of the property rights, near entirety or such photos are unavailable for use by web-page producers, advertising companies, web-designers, and so on, who need a variety of portraits with differing expressions and characteristics. This study offers a search engine that incorporates image characteristics based on natural language index, which can provide a fast and reliable search result. It will create an opportunity for the digital photographers to mure easily sell their pictures and simultaneously provide the would-be users of the photos a better and easier way to find the pictures they are looking for. Once the search engine is realized, it will become possible to use not only the nouns as keywords and categories but also verbs in search of portraits revealing feelings, expressions, dressings, and other characteristics.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.678-685
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• 2014

Film music expresses the inner mentality of characters and performs a suggestive role of narrative. This study suggests the process of musical change according to the psychological change of the characters in the movie "The Hours" by Stephen Daldry. These musical elements depending on the mental states prove that the minute differences of each depression symptom could be expressed using symbolic methods of musical elements.

• KOREAN POULTRY JOURNAL
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• v.41 no.5
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• pp.82-83
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• 2009

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.19-27
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• 2011

The humanoid creatures like Na'Vi in 'Avatar' remind the audience of a few actors' faces in the movie, enhance realism in film through combining CG and Live action which are related to the story. The design of face-recognizable humanoid creature is expected to be used in many ways; not only in film, but also in newest media. This research proposes to apply the main concept of Caricature which is 'exaggeration' of distinctive face elements from their prototypes for 'likeness' with the subjects. Also, it provides the idea of extracting the distinctive features of a face and combining the exaggerated subject as those features with an imaginary creature-other species, alien, etc. Finally, it proves the effectiveness of the design process with some experiments.

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.137-146
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• 2013

Anton Chekhov was able to deliver a significant influence to the 20th realist drama types and styles, because his deep thoughts about diverse aspects of human life were realistically expressed on stages. Western realistic actors endeavored to embody their routines based on their words, behaviors, and habits. Chekhov used his outstanding talent to identify the characteristics of people, created unforgettable drama characters, and focused on their behavioral motives. From his philosophical point of view, Chekhov argued that secrets are hidden in life itself, and that everything, shown on the stage, should be as it is in our actual daily life. The realistic acting, recognizing the difference between the daily truth and the truth mentioned in works, pursued acting styles by which audiences regarded play characters as the real people.

• Journal of the Institute of Convergence Signal Processing
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• v.6 no.4
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• pp.163-168
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• 2005

In this paper, we propose a character-based summarization algorithm using speaker identification method from the dialog in video. First, we extract the dialog of shots containing characters' face and then, classify the scene according to actor/actress by performing speaker identification. The classifier is based on the GMM(Gaussian Mixture Model) using the 24 values of MFCC(Mel Frequency Cepstrum Coefficient). GMM is trained to recognize one actor/actress among four who are all trained by GMM. Our experiment result shows that GMM classifier obtains the error rate of 0.138 from our video data.

• Journal of the Korea Society of Computer and Information
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• v.18 no.3
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• pp.119-126
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• 2013

In this paper, we propose and describe the system to visualize the story of contents such as movies and novels. Character-net is applied as story model in order to visualize story. However, it is the form to be accumulated for total movie story, though it can depict the relationship between characters. We have developed the system that analyzes and shows the variation of Character-net and characters' tendency in order to represent story variation depending on movie progression. This system is composed by two windows that can play and analyze sequential Character-nets by time, and can analyze time variant graph of characters' degree centrality. First window has a function that supports to find important story points like the scenes that main characters appear or meet firstly. Second window supports a function that track each character's tendency or a variation of his tendency through analyzing in-degree graph and out-degree. This paper describes the proposed system and discusses additional requirements.

• The Journal of the Korea Contents Association
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• v.14 no.9
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• pp.64-75
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• 2014

This study has attempted to explore the audience's visual attention about the subtitles types of CATV entertainment program. To achieve this, this research has measured the dwell time and average fixation data through the eye-tracking test and analysed the reason of particular visual attention by in-depth interview. According to the eye-tracking research findings, four types of subtitles(character metaphor, character metonymy, event metaphor, event metonymy) were measured the highest dwell time and average fixation time. Also, according to in-depth interview, visual attention was clearly turned up that event metonymy constructs the conflicts between characters and overstates the trip place romantically. This results means that staffs of intensify the reality and visual pleasure through event metonymic subtitles.