NLG using similar videos
For a given query video, system will retrieve similar videos on the basis of cosine similarity of features. Features are extracted frame by frame using ResNet_152 and compared with videos in database to retrieve nearest duplicate videos. Main purpose of solving this problem is to generate captions of untagged videos using nearest duplicate videos. Currently retrieval of similar videos is being done and its desktop application is shown below. Further, in future, description of query video will be generated based on description of retrieved videos.
Posted on: May 7, 2020