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k-SDPP: Fixed-Size Video Summarization via Sequential Determinantal Point Processes

Jiping Zheng, Ganfeng Lu
2020 Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence  
In this paper, we propose a new model in the DPP lineage named k-SDPP in vein of sequential determinantal point processes but with fixed user specified size k.  ...  Determinantal point processes (DPPs) which are elegant probabilistic models have been successfully applied to video summarization.  ...  In this paper, we propose k-SDPP, a new probabilistic model in the DPP lineage. k-SDPP outputs a fixed-size, e.g., k video frames via sequential determinantal point processes.  ... 
doi:10.24963/ijcai.2020/108 dblp:conf/ijcai/ZhengL20 fatcat:gwreyv6mlfcnvknhabnptknity

Determinantal Point Processes for Machine Learning

Alex Kulesza
2012 Foundations and Trends® in Machine Learning  
Determinantal point processes (DPPs) are elegant probabilistic models of repulsion that arise in quantum physics and random matrix theory.  ...  applications like finding diverse sets of high-quality search results, building informative summaries by selecting diverse sentences from documents, modeling non-overlapping human poses in images or video  ...  This subset is distributed as a determinantal point process.  ... 
doi:10.1561/2200000044 fatcat:qqq2fvo6tfcnbd73ee2oa43num