Incremental probabilistic Latent Semantic Analysis for video retrieval

作者：

Highlights：

• A study of the use of topic models for video retrieval is presented.

• A new topic model to deal with incremental retrieval scenarios is proposed.

• Comparison of four topic models using two different retrieval functions

• The results highlight the performance differences among the topic models.

摘要

•A study of the use of topic models for video retrieval is presented.•A new topic model to deal with incremental retrieval scenarios is proposed.•Comparison of four topic models using two different retrieval functions•The results highlight the performance differences among the topic models.

论文关键词：Content-based Video Retrieval,Latent topics,probabilistic Latent Semantic Analysis (pLSA),Relevance Feedback,Information retrieval

论文评审过程：Received 12 September 2014, Revised 21 December 2014, Accepted 15 February 2015, Available online 7 April 2015.

论文官网地址：https://doi.org/10.1016/j.imavis.2015.02.003