What is claimed is:
1. An video data processing system, comprising:
apparatus for providing a sequence of video frames, each video frame containing an array of image data representing an image;
a spatial transform module for performing a spatial decomposition transform on the video frames to generate spatially transformed video frames; each of the spatially transformed video frames including a plurality of subbands of data, including at least one low spatial frequency subband of data; and
memory for storing the spatially transformed video frames;
a temporal transform module for performing a temporal decomposition transform on blocks of the spatially transformed video frames, each block containing a predefined number of the spatially transformed video frames in a sequence corresponding to the sequence of the corresponding video frames, the temporal transform module applying a temporal decomposition transform to the at least one low spatial frequency subband of data in the spatially transformed video frames so as to generate temporally transformed video data for the at least one low spatial frequency subband of data in the spatially transformed video frames; and
a data encoder for encoding, for each block of video frames, the temporally transformed video data and the subbands of data, if any, of the spatially transformed video frames in the block to which the temporal decomposition transform was not applied.
2. The image processing system of claim 1,
wherein the temporal decomposition transform is an asymmetric transform that extends beyond a current block of spatially transformed video frames to a trailing edge of a previous block of spatially transformed video frames but does not extend beyond the current block of spatially transformed video frames to a next block of spatially transformed video frames.
3. The image processing system of claim 2, wherein the temporal decomposition transform is a wavelet or wavelet-like decomposition transform.
4. The image processing system of claim 2, wherein
the at least one low spatial frequency subband includes, for each video frame, a plurality of coefficients at positions (i,j);
the temporal decomposition transform includes a plurality of transform layers, including first, second and last transform layers, each of the plurality of transform layers other than the last transform layer producing intermediate coefficients for input to a next transform layer;
the system includes an edge data buffer for storing, for each coefficient in the at least one low spatial frequency subband, at least one intermediate coefficient generated by the temporal decomposition transform when applied to the previous block of video frames; and
the temporal transform module is configured to use the at least one intermediate coefficient stored in the edge buffer for each coefficient in the at least one low spatial frequency subband as input to at least one of the transform layers of the temporal decomposition transform when the temporal decomposition transform is applied to the current block of video frames.
5. The image processing system of claim 2, wherein the spatial decomposition transform is a discrete cosine transform.
6. A method of processing a sequence of video frames, comprising:
performing a spatial decomposition transform on the video frames to generate spatially transformed video frames; each of the spatially transformed video frames including a plurality of subbands of data, including at least one low spatial frequency subband of data; and
storing the spatially transformed video frames;
performing a temporal decomposition transform on blocks of the spatially transformed video frames, each block containing a predefined number of the spatially transformed video frames in a sequence corresponding to the sequence of the corresponding video frames, including applying a temporal decomposition transform to the at least one low spatial frequency subband of data in the spatially transformed video frames so as to generate temporally transformed video data for the at least one low spatial frequency subband of data in the spatially transformed video frames; and
encoding, for each block of video frames, the temporally transformed video data and the subbands of data, if any, of the spatially transformed video frames in the block to which the temporal decomposition transform was not applied.
7. The method of claim 6, wherein the temporal decomposition transform is an asymmetric transform that extends beyond a current block of spatially transformed video frames to a trailing edge of a previous block of spatially transformed video frames but does not extend beyond the current block of spatially transformed video frames to a next block of spatially transformed video frames.
8. The method of claim 7, wherein the temporal decomposition transform is a wavelet or wavelet-like decomposition transform.
9. The method of claim 7, wherein the at least one low spatial frequency subband includes, for each video frame, a plurality of coefficients at positions (i,j);
the temporal decomposition transform includes a plurality of transform layers, including first, second and last transform layers, each of the plurality of transform layers other than the last transform layer producing intermediate coefficients for input to a next transform layer;
the performing a temporal decomposition transform includes storing, for each coefficient in the at least one low spatial frequency subband, at least one intermediate coefficient generated by the temporal decomposition transform when applied to the previous block of video frames; and
the performing a temporal decomposition transform includes using the at least one intermediate coefficient stored in the edge buffer for each coefficient in the at least one low spatial frequency subband as input to at least one of the transform layers of the temporal decomposition transform when the temporal decomposition transform is applied to the current block of video frames.
10. The method of claim 7, wherein the spatial decomposition transform is a discrete cosine transform.
11. A computer program product for use in conjunction with a computer system, the computer program product comprising a computer readable storage medium and a computer program mechanism embedded therein, the computer program mechanism comprising:
a spatial transform module for performing a spatial decomposition transform on the video frames to generate spatially transformed video frames; each of the spatially transformed video frames including a plurality of subbands of data, including at least one low spatial frequency subband of data; and
a temporal transform module for performing a temporal decomposition transform on blocks of the spatially transformed video frames, each block containing a predefined number of the spatially transformed video frames in a sequence corresponding to the sequence of the corresponding video frames, the temporal transform module applying a temporal decomposition transform to the at least one low spatial frequency subband of data in the spatially transformed video frames so as to generate temporally transformed video data for the at least one low spatial frequency subband of data in the spatially transformed video frames; and
a data encoding module for encoding, for each block of video frames, the temporally transformed video data and the subbands of data, if any, of the spatially transformed video frames in the block to which the temporal decomposition transform was not applied.
12. The computer program product of claim 11, wherein the temporal decomposition transform is an asymmetric transform that extends beyond a current block of spatially transformed video frames to a trailing edge of a previous block of spatially transformed video frames but does not extend beyond the current block of spatially transformed video frames to a next block of spatially transformed video frames.
13. The computer program product of claim 2, wherein the temporal decomposition transform is a wavelet or wavelet-like decomposition transform.
14. The computer program product of claim 12, wherein
the at least one low spatial frequency subband includes, for each video frame, a plurality of coefficients at positions (i,j);
the temporal decomposition transform includes a plurality of transform layers, including first, second and last transform layers, each of the plurality of transform layers other than the last transform layer producing intermediate coefficients for input to a next transform layer;
the system includes an edge data buffer for storing, for each coefficient in the at least one low spatial frequency subband, at least one intermediate coefficient generated by the temporal decomposition transform when applied to the previous block of video frames; and
the temporal transform module is configured to use the at least one intermediate coefficient stored in the edge buffer for each coefficient in the at least one low spatial frequency subband as input to at least one of the transform layers of the temporal decomposition transform when the temporal decomposition transform is applied to the current block of video frames.
15. The computer program product of claim 12, wherein the spatial decomposition transform is a discrete cosine transform.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. An antibody having a binding affinity for a monohalotyrosine.
2. The antibody of claim 1 wherein the monohalotyrosine is bromotyrosine.
3. The antibody of claim 1 wherein the monohalotyrosine is chlorotyrosine
4. The antibody of claim 1 wherein the monohalotyrosine is a moiety of a protein.
5. The antibody of claim 1 wherein the antibody also has a binding affinity for dihalotyrosine.
6. A composition comprising an antibody bound with monohalotyrosine.
7. The composition of claim 6 wherein the monohalotyrosine is a moiety of a protein.
8. The composition of claim 6 wherein the monohalotyrosine is one or both of bromotyrosine andor chlorotyrosine.
9. A composition comprising a protein having a 3-bromo-4-hydroxy-benzoic acid moiety.
10. The composition of claim 9 wherein the protein is keyhole limpet hemocyanin (KLH).
11. A method for evaluating the severity of asthma comprising:
analyzing sputum of a patient using an antibody having a binding affinity for monohalotyrosine; and
measuring the amount of antibody bound to protein.
12. The method of claim 11 wherein the measuring is one or both of qualitative andor quantitative.
13. The method of claim 11 wherein the monohalotyrosine is a moiety of a protein.
14. The method of claim 11 wherein the monohalotyrosine is one or both of bromotyrosine andor chlorotyrosine.
15. The method of claim 11 further comprising correlating the amount of bound antibody to determine the amount of inflammation.
16. The method of claim 11 further comprising using the amount of bound antibody to monitor drug responses to asthma attacks.
17. A method for determining eosinophil activity in bodily fluid, the method comprising:
exposing bodily fluid to an antibody having a binding affinity for monohalotyrosine; and
measuring the amount of bound antibody to determine the eosinophil activity.
18. The method of claim 17 wherein the bodily fluid is sputum.
19. The method of claim 17 wherein the monohalotyrosine is a moiety of a protein.
20. The method of claim 17 wherein the monohalotyrosine is one or both of bromotyrosine andor chlorotyrosine.
21. The method of claim 17 further comprising correlating the amount of bound antibody to determine inflammation andor drug responses.
22. A method for preparing an antibody, the method comprising:
incorporating 3-bromo-4-hydroxy-benzoic acid into a protein to form an antigen;
immunizing a mammalian host with the antigen; and
recovering an antibody having an affinity for the antigen from the host.
23. The method of claim 22 wherein the protein is keyhole limpet hemocyanin (KLH).
24. The method of claim 22 wherein the antibody has a binding affinity for monohalotyrosine.
25. The method of claim 24 wherein the monohalotyrosine is one or both of bromotyrosine andor chlorotyrosine.
26. The method of claim 22 wherein the antibody has a binding affinity for protein halotyrosines.
27. The method of claim 26 wherein the halotyrosine is one or both of a monohalotyrosine andor a dihalotyrosine.
28. The method of claim 27 wherein the monohalotyrosine is one or both of 3-bromotyrosine andor 3-chlorotyrosine.
29. The method of claim 27 wherein the dihalotyrosine is one or both of 3,5-dibromotyrosine andor 3,5-dichlorotyrosine.
30. The method of claim 22 further comprising exposing the antibody to bodily fluid to determine eosinophil activity.
31. The method of claim 22 further comprising exposing the antibody to bodily fluid to determine inflammation.
32. The method of claim 22 further comprising exposing the antibody to bodily fluid to determine an amount of protein having a monohalotyrosine andor a dihalotyrosine moiety.