Video Processing Projects


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Video Processing Projects is a way to make the students enjoy with good projects. In common, video processing is a lifelike topic, as in the instance from CCTV surveillance for any goings-on detection. When working on any video, spatial and temporal correlations is useful.

Top 5 Video Processing Trends

  • Virtual and Augmented Reality
  • Drones and Aerial Video
  • Deal with 4K UHD Videos
  • Handling GoPro Cameras
  • Cinema graphs (Emails, and Social Media)

Top 5 Video Processing Tools

  • Python
  • Matlab
  • OpenCV
  • Octave
  • Scilab

       At the start, handling video-based projects is a hard job since processing methods are insufficient to handle such huge and complex videos. At present, more methods are inventing. When using new methods, it gives attraction for viewers beyond their novelty value.

       All in all, methods are the value that may be part of it. But the actual reason for clients like our product is that it speaks the novelty. Also, we can handle any complex type of videos too. For instance, you can see the following to know more.

  • Hyperlapse Videos
  • Slow Motion Videos
  • Video Chapterization
  • 360 Degree Videos
  • Vertical Videos
  • Integrated Video Campaigns
  • And much more…
Video Processing Projects using Matlab

Pipeline for Video Processing Projects

  • Conversion
    • Frames
    • Color Space
    • Color Point
  • Key Frame Extraction and Selection
    • Motion-based
    • Color-based
    • Concept-based
  • Noise Reduction
    • Block Noise
    • Mosquito Noise
  •  Frame Enhancement
    • Detail
    • Edge
    • Contrast
  • Motion Estimation
  • Multi-feature Extraction
  • BoVW Generation
  • Similarity Matching
  • Video Classification
  • And many more

     For the above flow, we carry out the video processing projects. This flow is not a static one, but we can change it as per the needs. For the end of the project only, we follow the above points. On video processing projects, shape and texture are the vital features for video classification. Thus, here we talk over the list of methods for shape feature extraction.

  • Shape Features
    • Boundary Box
    • Shock Graph
    • Beam Angle Statistic
    • Splitting Method
    • Ali’s Method
    • Chain Code
  • Texture Features
    • Wavelet Transform
    • R Transform
    • Shapelet Transform
    • Fourier Transform
    • Angular Radial Transform
    • Harmonic Transform

    In the main, example each time is more useful than words. As a result, we give you some examples to know the trends. Owing to we hope that its fine examples of accepting as true us. There are three examples that are stated for you.

  • Kalman Filter for Object Tracking
  • Pedestrain Tracking in Car Moving
  • Analyze Thermal via FLIR Camera

    To sum up, we are able to supply your product on time. For this reason, you need not fear about the deadline for Video Processing Projects. Further, we must ensure more work security for you.

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