Real-Time Video Content Popularity Detection Based on Mean Change Point Analysis
نویسندگان
چکیده
منابع مشابه
Action Change Detection in Video Based on HOG
Background and Objectives: Action recognition, as the processes of labeling an unknown action of a query video, is a challenging problem, due to the event complexity, variations in imaging conditions, and intra- and inter-individual action-variability. A number of solutions proposed to solve action recognition problem. Many of these frameworks suppose that each video sequence includes only one ...
متن کاملStatistical sequential analysis for real-time video scene change detection on compressed multimedia bitstream
The increased availability and usage of multimedia information have created a critical need for efficient multimedia processing algorithms. These algorithms must offer capabilities related to browsing, indexing, and retrieval of relevant data. A crucial step in multimedia processing is that of reliable video segmentation into visually coherent video shots through scene change detection. Video s...
متن کاملA Real-time Video Object Segmentation Algorithm Based on Change Detection and Background Updating
This paper proposes an efficient automatic video object segmentation algorithm by combining change detection with background updating. First, motion information is obtained from difference between previous frame and current frame instead of complicated motion estimation. Second, background subtraction is introduced to solve the problems of still object and uncovered background an ill-posed in c...
متن کاملSpeaker Change Detection based on Mean Shift
To settle out the problem that search of speaker change point (SCP) is blind and exhaustive, mean shift is proposed to seek SCP by estimating the kernel density of speech stream in this paper. It contains three steps: seeking peak points using mean shift firstly, using maximum likelihood ratio (MLR) to compute the MLR value of the peak points secondly, and seeking SCPs from MLR value using the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2940816