Method of similarity retrieval of color videos based on impressions
Yuya Watanabe, Teruhisa Hochin, Hiroki Nomiya · 2016
This paper proposes a method of similarity video retrieval based on impressions. As it has been clarified that the impression of videos can be expressed by using five factors, factor scores are tried to be estimated through feature values of videos. As for the dissimilarity, eigen values of the factors are introduced as weights. Similarity retrieval process is divided into two steps. At the first step, videos are roughly divided into two categories: similar and dissimilar videos by using the factors whose eigen values are large. At the second step, dissimilarity is calculated from the factor scores of the remaining factors. Moreover, the threshold values for the similarity retrieval are also clarified. It is experimentally shown that videos similar to a key video can successfully be obtained by using the proposed method.