Deep learning and its applications for content-based video retrieval

Abstract There is a huge amount of digital information including images, audio, video, and also the textual data that are accessible to everyone and anywhere due to the advances in the Internet and smartphones. Multimedia data are accessible and huge in number because of the high-resolution cameras that are available in smartphones. Multimedia platforms and social media gather these data and facilitate the storage, analytics, and management of the data. In particular, video data are used in areas such as education, broadcasting, entertainment, and digital libraries. The applications that use video data should be efficient to retrieve the videos as quickly as possible and analyze the information that is embedded in it. Most of the applications are based on indexing and searching, that is, the texts associated with the video are used for retrieval. Content-based video retrieval (CBVR) techniques are efficient techniques for video retrieval. In this chapter, techniques for video retrieval using CBVR are outlined with an experiment on a data set for retrieval.