AI

CH-4 – Implementation of VSM – Part-1

Posted on Author Ali Imran Comment(0)

Important Note: This article is part of the series in which TechReport.us discuss theory of Video Stream Matching.

General – Architecture of VSM

The architecture of VSM is consists on three main parts. Test side possibility is image or video and source have one possibility and it is only video.

  • Load Target Video To classification Model
  • Load Source Video To classification Model
  • Load Target Image To classification Model

Figure 4.2 Load Target Video To classification Model

Figure 4.3 Load Source Video To classification Model

Figure 4.4 Load Target Image To classification Model

Ali Imran
Over the past 20+ years, I have been working as a software engineer, architect, and programmer, creating, designing, and programming various applications. My main focus has always been to achieve business goals and transform business ideas into digital reality. I have successfully solved numerous business problems and increased productivity for small businesses as well as enterprise corporations through the solutions that I created. My strong technical background and ability to work effectively in team environments make me a valuable asset to any organization.
https://ITsAli.com

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CH-5 – Software Testing And Running – Part-2

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CH-2 – Image Processing – Part-2

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Image processing encompasses image restoration, enhancement, and compression. It involves manipulating images already captured or generated, distinct from computer graphics, which generates synthetic images. Pixels in digital images have important relationships, including neighbors, adjacency, connectivity, regions, and boundaries. Pixels are considered connected if they share a similar criterion, such as grayscale value. Different types of adjacency include 4-adjacency, 8-adjacency, and mixed adjacency, the latter resolving ambiguities in the former. Paths between pixels can be defined based on adjacency type, such as 4-, 8-, or m-paths. Regions in images are connected sets of pixels, with boundaries defined as pixels with neighboring pixels outside the region. Edges, based on intensity discontinuities, are local concepts, while boundaries are global, forming closed paths.

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