Automatic classification of personal video recordings based on audiovisual features

作者：

Highlights：

• A system for automatic classification of personal videos is presented.

• Personal video recordings are classified into 24 categories frame by frame.

• Features derived from both audio and image data are used to classify.

• The system learns the most appropriate parameters and classifiers for the task.

摘要

•A system for automatic classification of personal videos is presented.•Personal video recordings are classified into 24 categories frame by frame.•Features derived from both audio and image data are used to classify.•The system learns the most appropriate parameters and classifiers for the task.

论文关键词：Feature extraction,Personal video recording,Video classification,Meta-classification

论文评审过程：Received 26 November 2014, Revised 26 June 2015, Accepted 12 July 2015, Available online 17 July 2015, Version of Record 19 October 2015.

论文官网地址：https://doi.org/10.1016/j.knosys.2015.07.005