Relational large scale multi-label classification method for video categorization

Wojciech Indyk, Tomasz Kajdanowicz, Przemyslaw Kazienko
2012 Multimedia tools and applications  
The problem of automated video categorization in large datasets is considered in the paper. A new Iterative Multi-label Propagation (IMP) algorithm for relational learning in multi-label data is proposed. Based on the information of the already categorized videos and their relations to other videos, the system assigns suitable categories-multiple labels to the unknown videos. The MapReduce approach to the IMP algorithm described in the paper enables processing of large datasets in parallel
more » ... ting. The experiments carried out on 5-million videos dataset revealed the good efficiency of the multi-label classification for videos categorization. They have additionally shown that classification of all unknown videos required only several parallel iterations.
doi:10.1007/s11042-012-1149-2 fatcat:xkxofm4fijbh5b72rznopt6njy