2D Barcode Video Clip Generation for Event Photography
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Solution Overview
Problem
Existing systems for capturing and documenting large events, such as sports events, require significant effort from photographers and participants, and often rely on cumbersome equipment like personal timing chips, limiting the ability to capture a large number of participants efficiently and automatically generate personalized video clips or photo albums.
Innovation Solution
A method using unique 2D barcode patterns on identification signs, processed by a processor unit, to analyze and integrate video segments into comprehensive personal clips, allowing photographers to capture events freely while automatically generating personalized video clips and photo albums for participants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional chip detectors are used to capture participant data, then timing precision is improved, but device complexity and ease of operation deteriorate due to heavy equipment and restrictive positioning requirements
Solution Approach 1:
The patent replaces traditional mechanical chip detectors with a vision-based system using cameras and 2D barcode recognition. Participants wear lightweight identification signs with 2D barcodes instead of electronic timing chips, and cameras capture images that are processed to extract timing and position data. This substitution eliminates heavy detection equipment while maintaining measurement precision through automated image processing and barcode recognition algorithms.
Solution Approach 2:
The patent uses 2D barcode patterns as visual copies of participant identification data that can be captured by cameras. Instead of using electronic chips that require specialized detectors, the system creates visual representations (2D barcodes) of participant information that can be read from standard video frames. This copying approach allows any camera to function as a detection device, dramatically simplifying the hardware requirements.
2Reliability
If photographers are constrained to stand near chip detectors, then data capture reliability is improved, but ease of operation and adaptability deteriorate
Solution Approach 1:
The patent makes the camera system universal by enabling it to perform both traditional video recording and participant identification/timing functions simultaneously. The 2D barcode patterns are designed to be detectable from various distances and angles, allowing photographers to move freely while the system continues to capture participant data reliably. The software automatically processes video frames to extract barcode information regardless of the camera's position or motion.
Solution Approach 2:
The system enables photographers to operate independently without requiring coordination with timing equipment operators. The automated barcode recognition and participant identification processes run autonomously, allowing photographers to focus solely on capturing event footage while the system simultaneously extracts timing data from the video stream without human intervention.
3Measurement precision
If manual photo and video processing is performed for each participant, then measurement precision is improved, but productivity and loss of time worsen
Solution Approach 1:
The patent replaces manual photo processing and participant identification with automated computer vision algorithms. The system automatically detects 2D barcodes in video frames, extracts participant information, and generates personalized clips without human intervention. This automation maintains high identification accuracy through sophisticated image processing while dramatically increasing productivity by processing all participant data simultaneously rather than individually.
Solution Approach 2:
The system performs preliminary actions by pre-processing video frames to detect and identify 2D barcode patterns throughout the event coverage. The automated system continuously analyzes video streams in real-time or near real-time, extracting participant identification data and organizing clips before final delivery. This preliminary automated processing eliminates the need for manual review and sorting of footage for each participant.
Data Source
AI summary
A method of analyzing and presenting at least one video of a user in a comprehensive personal clip of the user's participation in an event, the method comprises providing users of the event with an identification sign, the identification sign comprises at least one unique two-dimensional (2D) barcode pattern and at least one predesigned common pattern; creating a lookup table of users' IDs, each user's ID being associated with the user's unique 2D barcode pattern; receiving at least one video of the event; extracting sample frames from the at least one video of the event in an initial predetermined rate; detecting and identifying at least one unique 2D barcode pattern in the sample frames and creating a time appearance index representing at least one user's at least one video segment, according to the at least one identified unique 2D barcode pattern; editing at least one of the at least one video segment that features at least one of the users based on the time appearance index; and integrating the at least one video segment into a comprehensive personal clip.