AI

CH-4 – Classification Model Architecture – Part-2

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.

This part of VSM is consists on two parts.

  • Target Image – Source Video – Model
  • Target Video – Source Video – Model

Figure 4.5 Target Image – Source Video – Model

Figure 4.6 Target Video – Source Video – 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.
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CH-4 – Mean Frame Extractions – Part-3

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Algorithm 1, focusing on mean frame extraction from AVI videos, operates similarly for both source and target videos. It stores the first and last frames and extracts a defined percentage of frames (10%) as temporary frames. Each temporary frame undergoes histogram calculation and comparison using the KS Test. Frames with differing distributions are saved as mean frames. This process continues until all frames are processed. The algorithm is outlined with steps for video input, temporary frame extraction, histogram calculation, and mean frame storage, ensuring efficient mean frame extraction for subsequent analysis in video stream matching.

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