Video Object Description of Short Videos in Hindi Text Language
Video object recognition has become a creative area of analysis in recent years. This strategy combines the outcome of state of the art object and activity indicators with "real world" information to pick the in all subjectverb object triplet for depicting a video. A general data driven approach is denoted in this paper that produces descriptions of video content into text description in the Hindi language. The proposed work provides preliminary and basic text description in the Hindi language that is producing simple words and sentence formation. But the main challenging effort in this work is to extract grammatically correct and expressive text information in Hindi text regarding video content. Using this triplet choice technique, a video is tagged by the trainer, in particular, Subject, Verb, and Object (SVO) and then this data is mined to improve the result of testing video explanation by means of activity as well as object identification.