This chapter discusses advanced strategies and evolving technologies in the
domain of video processing and analysis using VisualBERT. It explores techniques
such as object identification, and understanding, with a specific light on the
applications such as video summarization and search. The research emphasizes the
integration of visual, audio, and textual information through multimodal fusion and
attention mechanisms to enhance video exploration. The role of edge computing in
real-time video processing is examined, highlighting its potential applications in onthe-fly summarization and searching capabilities. Furthermore, the paper evaluates the
integration of blockchain technology for secure content distribution, particularly in
secure video streaming and video-on-demand (VOD) services. Additionally, it delves
into hyper-personalization and AI-driven content recommendations, investigating
methods to tailor video experiences according to individual user preferences. The study
concludes by proposing future research directions for advancing the field of video
processing and exploration across these domains.
Keywords: Multimodal fusion, Object tracking, Visual BERT, Video processing, Video summarization.
