Semantic Aware Video Transcription Using Random Forest Classifiers

13 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks (2015, methodology): “To eliminate the tedious effort of rule engineering when the problem scales, some recent methods train statistical models for lexical entries, either in a fully [10, 14, 24, 41] or weakly [36, 35, 57, 54] supervised fashion.”
Learning to Describe Video with Weak Supervision by Exploiting Negative Sentential Information (2015, background): “Second, other work trains statistical models for lexical entries, where the trained word models mainly serve to eliminate the tedious effort of rule design when the problem size becomes large (Das et al. 2013; Guadarrama et al. 2013; Krishnamoorthy et al. 2013; Sun and Nevatia 2014).”