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  Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Vision And Scene Understanding (I.2.10) > Motion (I.2.10...)  
 
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  1-10 of 10 Reviews about "Motion (I.2.10...)": Date Reviewed
  OM-based video shot retrieval by one-to-one matching
Peng Y., Ngo C., Xiao J. Multimedia Tools and Applications 34(2): 249-266, 2007.  Type: Article

Content-based video retrieval is a very topical research field due to the huge amount of video data generated every day and available worldwide. This retrieval may be achieved using similarity between video samples--either at ...

Apr 17 2008
  Accurate optical flow computation under non-uniform brightness variations
Teng C., Lai S., Chen Y., Hsu W. Computer Vision and Image Understanding 97(3): 315-346, 2005.  Type: Article

In this paper, the authors revise a former approach from Horn and Schunck’s and Lai and Vemuri’s framework to compute optical flow. Horn and Schunck’s regularization gradient-based method’s drawb...

Jun 10 2005
  Rapid omnidirectional vision acquisition using an intelligent linear scanning technique
Barth M., Barrows C. Machine Vision and Applications 14(2): 85-93, 2003.  Type: Article

Until now, omnidirectional cameras have suffered from either bad resolution (catadioptric methods) or excessive computation time (mosaicing and linear scanning). Therefore, the rapid high-resolution method in this paper is new and inte...

Oct 23 2003
  Understanding mechanical motion
Dar T., Joskowicz L., Rivlin E. Artificial Intelligence 112(1-2): 147-179, 1999.  Type: Article

A system is described that takes as input sequences of images containing essentially two-dimensional mechanisms such as turning gears, revolving cams, or opening door handles, and that obtains a textual description of the activities th...

Feb 1 2000
  Affine analysis of image sequences
Shapiro L., Cambridge University Press, New York, NY, 1995.  Type: Book (9780521550635)

As a dissertation, this book covers a relatively narrow topic in considerable depth. It also assumes that the reader has a solid background in the area....

Sep 1 1996
  Computational analysis of visual motion
Mitiche A., Plenum Press, New York, NY, 1994.  Type: Book (9780306447860)

Mitiche studies the recovery of three-dimensional structure and motion of rigid objects either from a set of point correspondences between successive images in long-range motion, or from an optical velocity field in short-range motion....

Feb 1 1996
  Experiments in the machine interpretation of visual motion
Murray D., Buxton B., MIT Press, Cambridge, MA, 1990.  Type: Book (9780262132633)

In a non-critical way and without arguments, this book presents some geometrical image processing techniques for object matching from motion images (that is, a sequence of images of the objects in some natural scene). Chapter 2 focuses...

Nov 1 1991
  Computing Motion Using Analog and Binary Resistive Networks
Hutchinson J., Koch C., Luo J., Mead C. Computer 21(3): 52-63, 1988.  Type: Article

In this review paper, the authors do an excellent job of summarizing a recent approach to early vision processing and especially optical flow computation. In this approach, visual processes are viewed as ill-posed problems in mathemati...

Jan 1 1989
  The Haitun dichotomy and the relevance of Bradford’s law
Brookes B. Journal of Information Science 8(1): 19-24, 1984.  Type: Article

Brookes presents what he considers to be an inadequacy of standard statistics in working with many problems in social science, bibliometrics, and scientometrics. The latter two refer to the measurement of frequencies and regularities ...

May 1 1985
  Comutations underlying the measuremnt of visual motion.
Hildreth E. Artificial Intelligence 23(3): 309-354, 1984.  Type: Article

This is a major paper extending the work of the MIT AI Laboratory in analyzing a changing two-dimensional image to recover three-dimensional structure. Motion analysis consists of two parts: (1) the measurement of motion by assignment ...

Mar 1 1985
 
 
 
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