EDISN INC. (20240323457). System and Method for Analyzing Videos in Real-Time simplified abstract
Contents
System and Method for Analyzing Videos in Real-Time
Organization Name
Inventor(s)
Akshay Chandrasekhar of Bangalore (IN)
Shivank Gupta of Bangalore (IN)
Monish Kumar Keswani of Kalyan (IN)
System and Method for Analyzing Videos in Real-Time - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240323457 titled 'System and Method for Analyzing Videos in Real-Time
- Simplified Explanation:**
The patent application describes a method and system for analyzing a live video broadcast stream of a sporting event. The system splits the stream into two parts, analyzes them in real-time, detects and tracks persons in the video frames, and identifies players using pre-existing data.
- Key Features and Innovation:**
- Splitting the live video stream into real-time messaging protocol (RTMP) and hypertext transfer protocol live stream (HLS).
- Analyzing the RTMP stream using phase difference with HLS.
- Detecting and tracking persons in the video frames using cues.
- Recognizing tracked persons and identifying players using pre-existing data.
- Transmitting contextual interactive content of identified players to user devices.
- Potential Applications:**
This technology can be used in sports analytics, live event broadcasting, player performance analysis, and fan engagement platforms.
- Problems Solved:**
This technology addresses the challenges of real-time player identification, tracking, and interactive content delivery in live sports broadcasts.
- Benefits:**
- Enhanced viewer experience with interactive player information.
- Improved player performance analysis for coaches and analysts.
- Efficient real-time tracking and identification of players in live broadcasts.
- Commercial Applications:**
- "Real-time Player Identification and Analysis System for Live Sports Broadcasts"
- This technology can be utilized by sports broadcasting companies, sports analytics firms, and fan engagement platforms to enhance the viewer experience and provide valuable insights.
- Questions about the Technology:**
1. How does the system differentiate between players and other persons in the video frames? 2. What are the potential challenges in implementing this technology on a large scale?
- Frequently Updated Research:**
Ongoing research in this field focuses on improving the accuracy and speed of player identification algorithms, enhancing the interactive content delivery to user devices, and expanding the application of this technology to other live events beyond sports.
Original Abstract Submitted
a method and a sports analytics system (sas) for analyzing a live video broadcast stream (lvbs) of a sporting event are provided. the sas splits the lvbs into a real time messaging protocol (rtmp) stream and a hypertext transfer protocol live stream (hls) and analyses the rtmp stream using a phase difference between the rtmp stream and the hls. the sas detects persons present in a frame of the rtmp stream using a first set of cues and tracks the detected persons by analyzing preceding frames. the sas recognizes the tracked persons using a second set of cues, assigns individual weights to each of the second set of cues, and compares the assigned weights of each of the recognized persons with pre-existing data of all players to identify the players in the frame. the sas transmits the hls and contextual interactive content of the identified players to a user device.
