Expressing Emotions Using Animated Text Captions
نویسندگان
چکیده
Due to limitations of conventional text-based closed captions, expressions of paralinguistic and emotive information contained in the dialogue of television and film content are often missing. We present a framework for enhancing captions that uses animation and a set of standard properties to express five basic emotions. Using an action research method, the framework was developed from a designer’s interpretation and rendering of animated text captions for two content examples.
منابع مشابه
Facial Emotional Expressions of Life-like Character Based on Text Classifier and Fuzzy Logic
A system consists of a text classifier and Fuzzy Inference System (FIS) to build a life-like virtual character capable of expressing emotion from a text input is proposed. The system classifies emotional content of sentence(s) from text input and expresses corresponding emotion by a facial expression. Text input is classified using the text classifier, while facial expression of the life-like c...
متن کاملAffective Communication in Online Chat Using Physiological Sensors and Animated Text
We present a chat system that uses animated text associated with emotional information to show the affective state of the user. The system obtains the affective state of a chat user from a physiological sensor attached to the user’s body. This paper describes preliminary experiments and provides examples of possible applications of our chat system. Observations from informal experiments compari...
متن کاملUsing Intelligent 3D Animated Character as the Interface for Interactive Digital TV System
In this research, we propose to incorporate intelligent 3D character into interface design to enhance the user experience on the interactive digital TV system. Based on the smart interactive digital TV system, call SITV, developed in our previous work, we consider several interactive scenarios in the design of the intelligent 3D animated character. We propose to design our intelligent 3D charac...
متن کاملSentiCap: Generating Image Descriptions with Sentiments
The recent progress on image recognition and language modeling is making automatic description of image content a reality. However, stylized, non-factual aspects of the written description are missing from the current systems. One such style is descriptions with emotions, which is commonplace in everyday communication, and influences decision-making and interpersonal relationships. We design a ...
متن کاملA Novel Approach for Key Caption Detection in Golf Videos Using Color Patterns
Text in images and videos contains useful information that can help a machine to understand content. Text is very important for the automatic annotation, indexing, and parsing of images and videos [1]-[3]. For sports videos, text information is very important because it displays valuable game information, such as scores and players. Therefore, it is important to efficiently find the key texts c...
متن کامل