A color bar based affective annotation method for media player

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Abstract

Multimedia technology has been developing quickly since the computer was invented. Nowadays, more and more people use media players to watch movies and TV shows on their computer. But it seems that we are too busy sometimes to spare nearly two hours watching a movie from beginning to end. We'd like to find and watch the most exciting episodes that we are interested in as soon as possible. The media players we use often only provide a slider bar for locating, which is rather low in efficiency. Respecting this, an affective annotation method for video clips is proposed in this paper and the method is implemented in an affectively annotated media player. In addition, two experiments were set up to evaluate the proposed method. Experiment results indicate that affective annotation facilitates the subjects in quick locating target events and helps them understand the scenarios better. © Springer-Verlag Berlin Heidelberg 2006.

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APA

Xu, C., Chen, L., & Chen, G. (2006). A color bar based affective annotation method for media player. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3841 LNCS, pp. 759–764). Springer Verlag. https://doi.org/10.1007/11610113_70

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