Title :
Design for emotion classification and retrieval of video based on user experience
Author :
Liang, Zhang ; Jin, Wang
Author_Institution :
Comput. Center, Beijing Inf. Sci. & Technol. Univ., Beijing, China
Abstract :
Emotion classification and retrieval in video is important in video analysis. It has great significance for the classification of video management and video retrieval. In this paper, we design an emotion classification and retrieval system for video based on user experience. We analyzed problems of the current emotion classification and retrieval algorithm. First we define the type of video classified according to the standard emotional, and then we designed a video emotional investigation and evaluation system. Based on user feedback and set rules to remove the unreasonable feedback results. Consistent user experience we can get the video emotion classification, and can form a user interface for emotional retrieve. The application results show that the algorithm is effective and feasible.
Keywords :
design; emotion recognition; image classification; video retrieval; design; emotion retrieval system; user experience; user interface; video emotion classification; video management classification; video retrieval classification; Algorithm design and analysis; Classification algorithms; Databases; Humans; Semantics; Streaming media; User interfaces; Emotion classification; User experience; Video retrieval; content-based video; video analysis;
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6066429