Profiling
Video in 2D
Video indexing is important to video browsing, editing, retrieval, and summarization. This work takes a new aspect view to profile a video volume to a visual track and create a digest of video for preview. Our projected profile of video contains spatial and temporal information inclusively in a 2D image scroll that is continuous, scalable, and indexing to frames. We analyze the camera kinematics including zoom, translation and rotation, and categorize camera works for profiling various types of video. The key idea is to use a sampling line to sweep the video volume across the major optical flow so as to obtain an intrinsic scene space that is less influenced by the camera motion. We also use motion blur technique to render dynamic targets in the profile. The resulting video track can provide a video preview for guiding the access to the frames. It will facilitate video surveillance, visual archiving of environment, video retrieval, and video editing.
My Publications:
Saeid Bagheri, J. Y. Zheng, S. Sinha, Temporal mapping of
surveillance video from indexing and summarization, Computer Vision and Image
Understanding, 144, 237-257, 2016.
S. Wang, S. Luo, Y. Huang, J.
Y. Zheng, P. Dai, Q. Han, Railroad online: acquiring and visualizing route
panoramas of railway scenes. The Visual Computer 30(9), 1045-1057.
S. Bagheri,
J. Y. Zheng, Temporal mapping of surveillance video, 22th International
Conference on Pattern Recognition, 4128-4133, 2014.
Jiang Yu Zheng, Hongyuan Cai, Karthir Prabhakar, PROFILING VIDEO TO VISUAL
TRACK FOR PREVIEW, IEEE International Conference on Multimedia and
Exposition 2011.
H. Cai, J. Y. Zheng, Video Anatomy: Cutting
Video Volume for Profile, ACM Conference on Multimedia 2011.
H. Cai, J. Y. Zheng, Automatic Heterogeneous Video
Summarization in Temporal Profile, International Conference on Pattern
Recognition 2012.
Video, Video 2012.