System and method for creating, executing and maintaining cross-enterprise processes |
| The present invention is a system and methods for creating, executing, and maintaining cross-... |
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Performance and memory bandwidth utilization for tree searches using tree fragmentation |
| In the following discussion, numerous specific details are set forth to provide a thorough ... |
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Parallel compression and decompression using a cooperative dictionary |
| OF THE PREFERRED EMBODIMENT FIG. 1 shows an example of a system structure suitable for use with ... |
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Memory organization in a switching device |
| In general, in one aspect, the invention provides a router for switching data packets from a source ... |
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Method for creating an information closure model |
| According to the invention, a method is provided for forming an information closure of a plurality ... |
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Dynamic insertion and updating of hypertext links for internet servers |
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System and method for efficiently encoding an image by prioritizing groups of spatially correlated coefficients based on an activity measure
| Details |
Inventors: Suarez, Jose I.; Prieto, Yolanda; Pirez, Yolanda M.;
Assignee: Motorola, Inc. (Schaumburg, IL)
Primary Examiner: Johnson; Timothy M.
Assistant Examiner:
Attorney, Agent or Firm: Miller, Johnson, Snell & Cummiskey, P.L.C.
An encoder (300) selects (702, 1302, 1304, 1306, 1308) one or more subsets of spatially or temporally correlated transformed data coefficients, on the basis of the significance of each subset in representing the data. The encoder (300) and a complementary decoder (400) may be applied to wavelet transform encoded images (500). The encoder (300) may be implemented on a wireless to Internet gateway server (108), in order to reduce byte size of encoded images (500) sent through a wireless network (112), and reduce the amount of processing that must be performed by a wireless device (118) to decode an image or other data. The decoder (400) and/or encoder (300) may be implemented on the wireless device (118). |
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DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS While this invention is susceptible of embodiment in many different forms, there are shown in the drawings and will herein be described in detail specific embodiments, with the understanding that the present disclosure is to be considered as an example of the principles of the invention and not intended to limit the invention to the specific embodiments shown and described. Further, the terms and words used herein are not to be considered limiting, but rather merely descriptive. In the description below, like reference numbers are used to describe the same, similar, or corresponding parts in the several views of the drawings. According to preferred embodiments of the present invention, a system and method operate to encode and decode data to achieve the highest possible level of fidelity of the decoded data with respect to the original data for a given allocation of bits per sample in the encoded representation. Further, in the case of image data, a system and method are provided for encoding and decoding images to achieve the highest possible level of fidelity of the decoded image with respect to the original data for a given allocation of bits per sample in the encoded representation. Further, in the case of image data, a system and method are provided for encoding and decoding images to achieve the highest possible level of fidelity of the decoded image with respect to the original data for a given allocation of bits per sample in the encoded representation without the need to use a computationally intensive quantizing and coding operations to reduce the byte size of the encoded image. Further a system and method are provided whereby a data set may be encoded once to obtain an encoded representation, and various byte size parts of the encoded representation may be selectively decoded to obtain versions with different levels of fidelity whereby for each byte size part decoded a high level of fidelity to the original data is achieved for the given the byte size of the decoded part relative to the number of samples in the data set
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