Feasible Local Content Representation For Image İn Video Search On Large Video Collection

Özkan, Savaş
Esen, Ersin
Akar, Gözde
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 alongside 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.
2016 24th Signal Processing and Communication Application Conference (SIU)


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Citation Formats
S. Özkan, E. Esen, and G. Akar, “Feasible Local Content Representation For Image İn Video Search On Large Video Collection,” presented at the 2016 24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 2016, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/79788.