Feasible Local Content Representation for Image-in-Video Search on Large-Video Collection

In this paper, we tackle content-based image-in-video search on large video archive. Particularly in this problem, the computation cost of a proposed method is another important parameter that should be considered along side of the success rate achieved due to the high volume of data. With our proposed method in this paper, content representation of multimedia data is achieved quite fast compared to other local approaches. Additionally, approximately % 16 improvement is introduced at the success rate with respect to the method that uses global approach for content representation on Stanford I2V dataset.