Applied Mathematicsematics

Download e-book for iPad: Digital image sequence processing: Compression and analysis by Todd R. Reed

By Todd R. Reed

Electronic snapshot sequences (including electronic video) are more and more universal and significant elements in technical functions starting from scientific imaging and multimedia communications to self sufficient motor vehicle navigation. The gigantic acclaim for DVD video and the creation of electronic tv make electronic video ubiquitous within the purchaser domain.
Digital picture series Processing, Compression, and Analysis presents an outline of the present nation of the sphere, as analyzed via best researchers. a useful source for making plans and carrying out examine during this quarter, the booklet conveys a unified view of strength instructions for extra commercial improvement. It deals an in-depth remedy of the newest views on processing, compression, and research of electronic photograph sequences.
Research related to electronic picture sequences is still tremendous energetic. the arrival of low-priced series acquisition, garage, and show units, including the provision of computing energy, opens new parts of chance. This quantity supplies the history essential to comprehend the strengths and weaknesses of present innovations and the instructions that customer and technical purposes may well take over the arrival decade.

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The goal is to achieve a compact representation of content-based video sequence information. The mosaics in GV are augmented images that describe the nonredundant information in the video sequence. This nonredundant information corresponds to the video sequence content. For each independently moving object in the scene, we associate a different mosaic, which we call figure mosaic. The “scene” can be a real 3-D scene or a synthetic scene generated by graphics tools. For the image background, which is static or slowly varying, we associate the background mosaic.

Given the video sequence { I1 ,$ , I k ,$ , I N } , we want to generate an extended depth map by combining the depth maps generated between pairs of successive images. , {ZkF } and {ZkP+1 } (“F” stands for future and “P” stands for past). The important thing to notice is that both depth maps share the same scaling factor as defined in structure from motion. They can be combined without creating any ambiguity3. The combination of these depth maps is described by the operation ˆ : {ZkF } , {ZkP+1 } q {ZkF ˆ ZkP+,R1 } .

S1B and S1F are instances, for r = 1, of the rth step background and figure selection operators SrB and SrF , respectively. , they have the same dimensions that are constant because N xI and N yI are fixed. 62), we conclude that A2,r is replaced by MrB and that Br I r is replaced by MrB (BrIr). MrB has the role of placing the unoccluded background region selected by SrB in relation to the world image coordinate system at step r. Formally, MrB (SrB I r ) corresponds to the background region in image Ir placed in relation to the world image coordinate system.

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