Open AccessA survey on video classification using action recognition
Author(s) -
Caleb Andrew,
Rex Fiona
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.31.13404
Subject(s) - crfs , computer science , conditional random field , artificial intelligence , search engine indexing , field (mathematics) , machine learning , variety (cybernetics) , probabilistic logic , action (physics) , pattern recognition (psychology) , mathematics , physics , quantum mechanics , pure mathematics
The growth in multimedia technology have resulted in producing a variety of videos every day. These videos should be classified in order to help people identify the correct video which they search for when needed. The video classification problem can be said as a probabilistic data classification problem which falls as a subcategory of the machine learning technique. Classification helps in indexing, analyzing, searching etc. A survey has been made on the present technologies that are used for video classification. Various techniques used for video classification such as Multiple Instance Learning (MIL), Conditional Random Field (CRFs) and classifying based on the action and gesture are studied.