Probe cleaner |
| It is, therefore, an object of this invention to provide a unique process monitoring probe cleaner ... |
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Method for treating pineapples |
| OF THE INVENTION This invention is based on the surprising discovery that certain plant growth ... |
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Vacuum filter for swimming pools |
| Having regard to the foregoing disclosure, the following is claimed as the inventive and patentable ... |
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Aquarium filter assembly with restricted pumping window |
| It is an object of the present invention to provide a filter assembly that would eliminate the ... |
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Rotary separating and extracting devices |
| OF SPECIFIC PREFERRED EMBODIMENTS With reference to FIG. 1, the apparatus according to the ... |
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Apparatus for water treatment |
| I claim: 1. Apparatus for adding chemicals in small amounts to water comprising: a. a supply of ... |
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Apparatus for separating impurities from fiber suspensions |
| It is the object of the invention to effectively separate impurities from a fiber suspension, and ... |
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Screening apparatus for a papermaking machine |
| The present invention provides a screen apparatus for processing stock flowing to a papermaking ... |
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Device for cleaning and recovering paper pulp |
| The object of the present invention is a sorter device capable of continuously cleaning a paper ... |
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Grass seed cleaner |
| I claim as my invention: 1. The method of cleaning fluffy grass seed from its associated trash ... |
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Method and apparatus for regenerating a dense motion vector field
| Details |
Inventors: Ozcelik, Taner; Brailean, James C.; Katsaggelos, Aggelos K.;
Assignee: Motorola, Inc. ()
Primary Examiner: Ramirez; Ellis B.
Assistant Examiner:
Attorney, Agent or Firm: Stockley; Darleen J.
The present invention provides a method (300) and apparatus (100) for regenerating a dense motion vector field, which describes the motion between two temporally adjacent frames of a video sequence, utilizing a previous dense motion vector field. In this method, a spatial DVF and a temporal DVF are determined (302 and 304) and summed to provide a DVF prediction (306). This method and apparatus enables a dense motion vector field to be used in the encoding and decoding process of a video sequence. This is very important since a dense motion vector field provides a much higher quality prediction of the current frame as compared to the standard block matching motion estimation techniques. The problem to date with utilizing a dense motion vector field is that the information contained in a dense motion field is too large to transmit. The present invention eliminates the need to transmit any motion information. |
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DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS The method and apparatus described below enables a dense motion vector field to be utilized in the encoding process of a video sequence. Specifically, a method and apparatus are described where the dense motion vector field, used in the encoding and decoding process, is predicted from a previous dense motion vector field. Utilizing this predicted dense motion field eliminates the need to transmit any motion information. Therefore, the problem of transmitting a dense motion vector field is completely alleviated by the method and apparatus described below. In order to describe the method and apparatus certain assumptions are made concerning the input video sequence. Specifically, the video source is assumed to be in a digital format where the number of pixels per row, the number of rows per frame, and the number of frames per second are known prior to the encoding process. Each pixel represents both the luminance and chrominance components using 8 bit integer numbers which span from 0 to 255. As mentioned above, these assumptions are only made to help facilitate the description of the method and apparatus and should not be viewed as restrictions to applications where these assumptions do not hold. FIG. 1, numeral 100, is a diagram of a preferred embodiment of an apparatus for regenerating a dense motion vector field, DVF, for use in a motion compensated video encoder in accordance with the present invention. The apparatus includes a spatial DVF determiner (102), a temporal DVF determiner (104), a causal local neighborhood of previously predicted dense motion vectors (106), and a motion compensated video encoder (108). Based on a moving object boundary estimate (130), a previous DVF (146), and a local neighborhood of predicted current dense motion vectors (136), the spatial. DVF determiner determines a prediction of the current DVF (128). Based on a moving object boundary estimate (130), and a previous DVF (146), the temporal DVF determiner determines a prediction of the current DVF (128)
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