Robust camera motion analysis for home video

Details Robust camera motion analysis for home video Robust camera motion analysis for home video

2007-12-25

2007-12-25

Ometz, David (Department: 2622)

Television

Camera, system and detail

Camera image stabilization

C382S107000

Reexamination Certificate

active

10720677

ABSTRACT:
A robust camera motion analysis method is described. In an implementation, a method includes analyzing video having sequential frames to determine one or more camera motions that occurred when sequential frames of the video were captured. The one or more camera motions for each frame are described by a set of displacement curves, a mean absolute difference (MAD) curve, and a major motion (MAJ) curve. The set of displacement curves describe the one or more camera motions in respective horizontal (H), vertical (V), and radial (R) directions. The MAD curve relates a minimum MAD value from the set of displacement curves. The MAJ curve is generated from the minimum MAD value and provides one or more qualitative descriptions that describe the one or more camera motions as at least one of still, vertical, horizontal and radial.

REFERENCES:
patent: 4969036 (1990-11-01), Bhanu et al.
patent: 6211912 (2001-04-01), Shahraray
patent: 6606409 (2003-08-01), Warnick et al.
patent: 6721454 (2004-04-01), Qian et al.
patent: 7010036 (2006-03-01), Mory
Dong-Jun Lan et al., Abstract—“A Novel Motion-Based Representation for Video Mining,” Paper MD-L3.1, Jul. 9, 2003, 2003 IEEE International Conference on Multimedia, 1 page.
Dong-Jun Lan et al., “A Novel Motion-Based Representation for Video Mining,” Jul. 9, 2003, 2003 IEEE International Conference on Multimedia, 4 pages.
Yu-Fei Ma et al., “Motion Pattern based Video Classification and Retrieval,” Microsoft Research Asia, Beijing, P.R. China, pp. 1-18.
Yu-Fei Ma et al., “Motion Pattern Based Video Classification Using Support Vector Machines,” Microsoft Research Asia, Beijing, China, 4 pages.
Rainer Leinhart, “Comparison of Automatic Shot Boundary Detection Algorithms,” Microcomputer Seesearch Labs, Intel Corporation, Santa Clara, CA, pp. 1-12.
Xiaoming Liu et al., “Shot Boundary Detection Using Temporal Statistics Modeling,” Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA, 4 pages.
Junghwan Oh et al., “Automatic Distinction of Camera and Object Motions in Video Sequences,” Dept. of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX USA, 4 pages.
Dong-Jun Lan et al., “A Systemic Framework of Camera Motion Analysis for Home Video,” Dept. of Electronic Engineering, Tsinghua University, Beijing, China, Sep. 2003, 4 pages.
Yu-Fei Ma et al., “A User Attention Model for Video Summarization,” Microsoft Research Asia, Beijing, China, Dec. 2002, 10 pages.
Xian-Sheng Hua et al., “AVE—Automated Home Video Editing,” Microsoft Research Asia, Beijing, P.R. China, MM'03, Nov. 2-8, 2003, Berkeley, CA USA, 8 pages.

Affiliated with

Also associated with

Rating

Robust camera motion analysis for home video does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Robust camera motion analysis for home video, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Robust camera motion analysis for home video will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3831687