Abstract
The emergence of entertainment industry motivates the explosive growth of automatically film trailer. Manually finding desired clips from these large amounts of films is time-consuming and tedious, which makes finding the moments of user major or special preference becomes an urgent problem. Moreover, the user subjectivity over a film makes no fixed trailer meets all user interests. This paper addresses these problems by posing a query-related film clip extraction framework which optimizes selected frames to both semantically query-related and visually representative of the entire film. The experimental results show that our query-related film clip retrieval method is particularly useful for film editing, e.g. showing the abstraction of the entire film while playing focus on the parts that matches the user queries.
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Zou, L., Wang, H., Chen, P., Wei, B. (2020). A Method of Film Clips Retrieval Using Image Queries Based on User Interests. In: Lu, H. (eds) Cognitive Internet of Things: Frameworks, Tools and Applications. ISAIR 2018. Studies in Computational Intelligence, vol 810. Springer, Cham. https://doi.org/10.1007/978-3-030-04946-1_9
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