Abstract
In this paper, we propose a topical object discovery method in commerical video. This method utilizes the objectness measure to generate the object candidates from the key-frames of the video. Then a sparse coding method is developed to discover the most topical object. Such a method can provide ranked results and therefore we can easily select the most topical object. The experimental validation on 10 videos shows that the sparse coding method performs better than existing topic mining methods.
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Liu, Y., Liu, H., Sun, F. (2014). Discovery of the Topical Object in Commercial Video: A Sparse Coding Method. In: Li, S., Liu, C., Wang, Y. (eds) Pattern Recognition. CCPR 2014. Communications in Computer and Information Science, vol 484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45643-9_26
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DOI: https://doi.org/10.1007/978-3-662-45643-9_26
Publisher Name: Springer, Berlin, Heidelberg
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