Video Indexing and Retrieval Techniques: A Review

Content-based video retrieval is one of the foremost research problems in the fields of artificial intelligence, computer vision, digital image processing, and natural language understanding over the past decade. The exponential development of video retrieval has created several research problems and opportunities for the design and develop a variety of real-world applications such as face video retrieval/recognition, video tagging, video annotation, crime investigation, Web albums, and health care. Most of the research is to develop efficient content-based video retrieval techniques from large video databases. Even though a large number of video retrieval techniques have been increased, there are no universally accepted techniques available. The challenge in content-based video retrieval is to build a rapid solution for high-dimensional indexing, which is essential for constructing large-scale content-based video retrieval systems. This study presents an emphasis on the role of content-based video indexing and also highlights the challenges in designing content-based video retrieval and recognition systems.