Qualcomm incorporated (20240233140). FRAME-BASED VIDEO SEGMENTATION simplified abstract
Contents
FRAME-BASED VIDEO SEGMENTATION
Organization Name
Inventor(s)
Jiancheng Lyu of San Diego CA (US)
Yingyong Qi of San Diego CA (US)
FRAME-BASED VIDEO SEGMENTATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240233140 titled 'FRAME-BASED VIDEO SEGMENTATION
Abstract: Methods and systems of frame-based image segmentation are provided. For example, a method for feature object tracking between frames of video data is provided. The method involves receiving a first frame of video data, extracting a mask feature for each of one or more objects of the first frame, adjusting the first frame by applying each initial mask and corresponding identification to a respective object of the first frame, and outputting the adjusted first frame. The method further includes tracking the one or more objects in one or more consecutive frames. The tracking involves extracting a masked feature for each of one or more objects in the consecutive frame, adjusting the consecutive frame by applying each initial mask and corresponding identification for the consecutive frame to the respective object of the one or more objects of the consecutive frame, and outputting the adjusted consecutive frame.
- Simplified Explanation:
- The patent application describes a method for tracking objects in video data by extracting mask features and adjusting frames accordingly.
- Key Features and Innovation:
- Feature object tracking between frames of video data. - Extraction of mask features for objects in frames. - Adjustment of frames based on initial masks and identifications. - Tracking of objects in consecutive frames.
- Potential Applications:
- Video surveillance systems. - Object recognition in video editing software. - Autonomous vehicles for object tracking. - Medical imaging for tracking moving objects.
- Problems Solved:
- Efficient object tracking in video data. - Accurate identification of objects in consecutive frames. - Streamlining the process of image segmentation.
- Benefits:
- Improved accuracy in object tracking. - Time-saving in video analysis. - Enhanced object recognition capabilities.
- Commercial Applications:
- "Enhanced Object Tracking System for Video Surveillance and Editing Software"
- Questions about Frame-Based Image Segmentation:
1. How does frame-based image segmentation improve object tracking in video data? - Frame-based image segmentation allows for the extraction of mask features and adjustments to frames, enhancing the accuracy of object tracking.
2. What are the potential challenges in implementing frame-based image segmentation for object tracking? - Challenges may include processing power requirements for real-time tracking and ensuring the accuracy of mask features across consecutive frames.
Original Abstract Submitted
methods and systems of frame based image segmentation are provided. for example, a method for feature object tracking between frames of video data is provided. the method comprises receiving a first frame of video data, extracting a mask feature for each of one or more objects of the first frame, adjusting the first frame by applying each initial mask and corresponding identification to a respective object of the first frame, and outputting the adjusted first frame. the method further comprises tracking the one or more objects in one or more consecutive frames. the tracking comprises extracting a masked feature for each of one or more objects in the consecutive frame, adjusting the consecutive frame by applying each initial mask and corresponding identification for the consecutive frame to the respective object of the one or more objects of the consecutive frame, and outputting the adjusted consecutive frame.
