18553496. HIGH DYNAMIC RANGE SCENE CUT DETECTION simplified abstract (QUALCOMM Incorporated)

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HIGH DYNAMIC RANGE SCENE CUT DETECTION

Organization Name

QUALCOMM Incorporated

Inventor(s)

Shang-Chih Chuang of San Diego CA (US)

Zhongshan Wang of Shenzhen (CN)

Yi-Chun Lu of San Jose CA (US)

HIGH DYNAMIC RANGE SCENE CUT DETECTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18553496 titled 'HIGH DYNAMIC RANGE SCENE CUT DETECTION

Simplified Explanation

The patent application describes systems and techniques for processing video data. It introduces a process that involves obtaining multiple frames, determining a scene cut in these frames, and determining a smoothed histogram based on the scene cut.

  • The process starts by obtaining a plurality of frames from a video.
  • It then determines a scene cut, which is a point where there is a significant change in the content or context of the video.
  • Based on the determined scene cut, a smoothed histogram is calculated. A histogram is a graphical representation of the distribution of pixel values in an image or video frame.
  • The process also involves determining characteristics of at least two frames, such as the first and second frames in the plurality of frames.
  • It checks if the difference between these characteristics is greater than a threshold difference.
  • If the difference exceeds the threshold, it determines that a scene cut has occurred.

Potential applications of this technology:

  • Video editing and post-production: The ability to automatically detect scene cuts can be useful in video editing and post-production processes, where scenes need to be seamlessly transitioned or edited.
  • Content analysis and indexing: The determination of scene cuts and smoothed histograms can aid in content analysis and indexing of videos, making it easier to search and retrieve specific scenes or content within a video.

Problems solved by this technology:

  • Manual scene cut detection: This technology eliminates the need for manual identification of scene cuts in videos, saving time and effort.
  • Inaccurate scene cut detection: Automated scene cut detection can be more accurate and consistent compared to human judgment, reducing errors in video processing and analysis.

Benefits of this technology:

  • Efficiency: The automated process reduces the time and effort required for scene cut detection and video processing tasks.
  • Accuracy: By using objective criteria and thresholds, the technology provides more consistent and accurate scene cut detection compared to subjective human judgment.
  • Scalability: The system can handle large volumes of video data, making it suitable for applications involving video libraries or streaming platforms.


Original Abstract Submitted

Systems and techniques are described herein for processing video data. In some examples, a process is described that can include obtaining a plurality of frames, determining a scene cut in the plurality of frames, and determining a smoothed histogram based on the determined scene cut. For instance, the process can include determining a first characteristic of at least a first frame of the plurality of frames and a second characteristic of at least a second frame of the plurality of frames, determining whether a difference between the first characteristic and the second characteristic is greater than a threshold difference, and determining the scene cut based a determination that the difference between the first characteristic and the second characteristic is greater than the threshold difference.

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