Support vector description of clusters for content-based image annotation

作者：

Highlights：

• We propose a support vector based approach to tag images.

• In the training process, training images are modeled using a kernel method.

• The training models can delineate arbitrary organized training images.

• In the tagging process, tags are predicted using a probabilistic approach.

• This approach is effective when the training images are irregularly organized.

摘要

Highlights•We propose a support vector based approach to tag images.•In the training process, training images are modeled using a kernel method.•The training models can delineate arbitrary organized training images.•In the tagging process, tags are predicted using a probabilistic approach.•This approach is effective when the training images are irregularly organized.

论文关键词：Support vector clustering,Kernel method,Image retrieval,Content-based image annotation,Computer vision

论文评审过程：Received 23 November 2012, Revised 7 September 2013, Accepted 13 October 2013, Available online 19 October 2013.

论文官网地址：https://doi.org/10.1016/j.patcog.2013.10.015