Abstract
This paper focuses on the problems of video annotation of outdoor user generated low bit-rate videos. An effective algorithm for estimating percentage of artificial (man-made) and natural content in a video frame is presented. The algorithm is based on edge information from the luminance frame only and it is intended to be executed on a mobile platform in an acceptable time frame. The experiments, performed on a large set of user generated videos, adhere with human perception of artificial and natural content. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Pavlovska, H., Kartalov, T., & Ivanovski, Z. (2009). Content-based annotation of user generated videos on a mobile platform. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5807 LNCS, pp. 230–241). https://doi.org/10.1007/978-3-642-04697-1_22
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