Abstract
Recognition of The Semantic Objects in Video is important in video analysis. It has great significance for the classification of video management and video retrieval. In this paper, we design an algorithm for recognition of the semantic objects in video. We analyzed problems of the current video object recognition algorithm, and propose a video object recognition algorithm based on the KNN algorithm. This paper selected some low-level features of video, such as grayscale, color and two-dimensional wavelet feature. Some similarity determination methods were analyzed in the paper. The experimental results show that the algorithm is effective and feasible in monitor video.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
