Definition
Latest breakthroughs in machine learning methodologies have made it feasible to accurately detect objects and to model complex events with interrelated objects.
Introduction
The explosive growth in digital videos has sparked an urgent need for new technologies able to access and retrieve desired videos from large video archives with both efficiency and accuracy. Content-based video retrieval (CBVR) techniques developed in the past decide strive to accomplish this goal by using low level image features, such as colors, textures, shapes, motions, etc. However, as there is a huge semantic gap between data representations and real video contents, CBVR techniques generally suffer from poor video retrieval performances.
The key to strengthening video retrieval capabilities lies in higher level understanding and representation of video contents. Video content understanding based on machine learning techniques is one of the promising research directions to accomplish this goal....
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Gong, Y. (2008). Video Content Analysis Using Machine Learning Tools. In: Furht, B. (eds) Encyclopedia of Multimedia. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-78414-4_242
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DOI: https://doi.org/10.1007/978-0-387-78414-4_242
Publisher Name: Springer, Boston, MA
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