Subjective evaluation criterion for selecting affective features and modeling highlights

Liyuan Xing; Hua Yu; Qingming Huang; Qixiang Ye; Ajay Divakaran

doi:10.1117/12.652142

16 January 2006 Subjective evaluation criterion for selecting affective features and modeling highlights

Liyuan Xing, Hua Yu, Qingming Huang, Qixiang Ye, Ajay Divakaran

Proceedings Volume 6073, Multimedia Content Analysis, Management, and Retrieval 2006; 60730L (2006) https://doi.org/10.1117/12.652142
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

In this paper, we propose a subjective evaluation criterion which is a guide for selecting affective features and modeling highlights. Firstly, the database of highlights ground truth is established, and both the randomness of the data set and the preparation of the subjects are considered. Secondly, commonly used affective features including visual, audio and editing features are extracted to express the highlights. Thirdly, subjective evaluation criterion is proposed based on the analysis of the average error method and pairwise comparisons method, especially the rationality of this criterion in our specific application is explained clearly according to the three detailed issues. Finally, evaluation experiments are designed on tennis and table tennis as examples. Based on the experiments, we prove that previous works on affective features and linear model highlights are effective. Furthermore, 82.0% (79.3%) affective accuracy is obtained fully automatically by computer which is a marvelous highlights ranking result. This result shows the subjective evaluation criterion is well designed for selecting affective features and modeling highlights.

Citation Download Citation

Liyuan Xing, Hua Yu, Qingming Huang, Qixiang Ye, and Ajay Divakaran "Subjective evaluation criterion for selecting affective features and modeling highlights", Proc. SPIE 6073, Multimedia Content Analysis, Management, and Retrieval 2006, 60730L (16 January 2006); https://doi.org/10.1117/12.652142

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