Abstract
According to the results of the Video Browser Showdown competition, position-color feature signatures proved to be an effective model for visual known-item search tasks in BBC video collections. In this paper, we investigate details of the retrieval model based on feature signatures, given a state-of-the-art known item search tool – Signature-based Video Browser. We also evaluate a preliminary comparative study for three variants of the utilizes distance measures. In the discussion, we analyze logs and provide clues for understanding the performance of our model.
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Notes
- 1.
Specifying sketch circle sizes was rather confusing for users. In practice, users were placing multiple circles of the same color to capture large color areas.
- 2.
17 out of 33 participant received a university education in computer science.
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Acknowledgments
This research was supported by grant SVV-2016-260331, Charles University project P46 and GAUK project no. 1134316.
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Lokoč, J., Kuboň, D., Blažek, A. (2017). A Comparative Study for Known Item Visual Search Using Position Color Feature Signatures. In: Amsaleg, L., Guðmundsson, G., Gurrin, C., Jónsson, B., Satoh, S. (eds) MultiMedia Modeling. MMM 2017. Lecture Notes in Computer Science(), vol 10133. Springer, Cham. https://doi.org/10.1007/978-3-319-51814-5_1
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