A very low bit-rate video codec using multiple-level segmentation and affine motion compensation is presented. The translational motion model is adequate to motion compensate small regions even when complex motion is involved; however, it is no longer capable of delivering satisfactory results when applied to large regions or the whole frame. The proposed codec is based on a variable block size...

This paper reviews the evidence for Kersten’s (1998a) theory of a division of labor between nouns and relational terms in the description of a motion event. According to this theory, nouns tend to convey intrinsic motion, or motion defined with respect to a frame of reference internal to the object carrying it out. Relational terms, on the other hand, tend to convey different types of motion fr...

A novel motion representation and estimation scheme is presented that leads to improved coding efficiency of blockbased video coders like, e.g., H.263. The proposed scheme is based on motion-compensated prediction from more than one reference frame. The reference pictures are warped or globally motion-compensated versions of the previous frame. Affine motion models are used as warping parameter...

In this paper, a four-parameter model for global motion in image sequences is proposed. The model is generalized and can accommodate global object motions besides the motions due to the camera movements. Only the PAN and the ZOOM global motions are considered because of their relatively more frequent occurrences in real video sequences. Besides the traditional leastsquares estimation scheme, tw...

Despite technical advances, respiratory motion remains a major impediment in a substantial amount of patients undergoing coronary magnetic resonance angiography (CMRA). Traditionally, respiratory motion compensation has been performed with a one-dimensional respiratory navigator positioned on the right hemi-diaphragm, using a motion model to estimate and correct for the bulk respiratory motion ...

We describe a new technique that detects periodic motion. Assuming a static camera, we first segment moving objects from the background. By tracking objects of interest, we compute the object’s self-similarity as it evolves in time. For periodic motion, the self-similarity metric is periodic, and is Fourier analyzed to detect and characterize periodicity. Examples on real image sequences are gi...

We present CO J=1-0 observations from the Caltech Millimeter Array of a field in the nearby spiral galaxy M81. We detect emission from three features that are the size of large giant molecular clouds (GMCs) in the Milky Way Galaxy and M31, but are larger than any known in M33 or the SMC. The M81 clouds have diameters ∼ 100 pc and molecular masses ∼ 3 × 10 M . These are the first GMCs to be dete...

To estimate motion, the edges of a moving object can be detected using Active Contours. After detecting the edges throughout the duration of the motion, the contours are registered together in order to obtain the motion model parameters. This idea can be applied to motion artifacts in Magnetic Resonance Images (MRI) which are caused by patient motion during the acquisition of an MRI. Thus, if t...

In this paper we investigate lossless compression schemes for video sequences A simple adaptive prediction scheme is presented that exploits temporal correlations or spectral correlations in addition to spatial correlations It is seen that even with motion compensation schemes that utilize only temporal correlations do not perform signif icantly better than schemes that utilize only spectral co...