Dynamic Web Address Recognition in Video Frames
Solution Overview
Problem
Existing multimedia distribution systems fail to dynamically recognize and provide access to Internet addresses embedded within video components of multimedia presentations, limiting user interaction with advertised websites.
Innovation Solution
A method and system that utilize optical character recognition (OCR) to detect and verify web addresses within video frames, highlighting them for user access, and providing a selectable link to associated websites, allowing users to interact with the detected web addresses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If web addresses are embedded in video components of multimedia presentations, then advertisers can provide additional product information and drive viewers to websites, but existing distribution systems fail to dynamically recognize and provide access to these Internet addresses
Solution Approach 1:
The system performs optical character recognition (OCR) analysis on video frames in advance to detect web addresses before the user needs to access them. The detection process occurs proactively during video playback, identifying URLs embedded in advertisements so that access mechanisms can be prepared and presented to users when needed.
Solution Approach 2:
The system introduces an intermediary layer between the video content and the user's access action. This intermediary component (the web address detection and presentation system) bridges the gap by extracting web addresses from video frames and presenting them as selectable options, enabling users to access advertised websites without manual intervention.
2Measurement precision
If the system analyzes multiple video frames to detect web addresses, then detection accuracy improves, but processing time and computational resources increase
Solution Approach 1:
The system divides the video stream into discrete frames and analyzes them individually for web address patterns. By segmenting the continuous video into manageable frame units, the system can apply OCR analysis to each frame separately, improving detection precision while allowing efficient processing through parallel or sequential frame-by-frame evaluation.
3Ease of operation
If the system provides multiple interaction options for detected web addresses, then user engagement increases, but system complexity increases
Solution Approach 1:
The system presents detected web addresses in a user-friendly interface that enables users to access the websites with simple actions. The interface automatically provides interaction options (such as display prompts or selectable links) without requiring complex user input, allowing users to easily navigate from the video to the advertised website through intuitive, self-service interaction mechanisms.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables users to easily access additional information or purchase products by highlighting and linking detected web addresses within multimedia presentations, enhancing user engagement and advertiser reach without incurring substantial expenses.
Implementation Method 1
performing an optical character recognition analysis on the first frame to detect the presence of the pattern of characters within the first frame
Data Source
AI summary
One embodiment described herein may take the form of a system or method for dynamically recognizing an Internet address within a video or audio component of a multimedia presentation on a distribution system or network such as, but not limited to, a satellite, cable or Internet network. In general, the embodiment may analyze the audio portion of the presentation or one or more frames of a video component to detect the presence of a web address within the one or more frames. In the embodiment where the audio portion is analyzed, the system may perform a voice recognition or a similar analysis on the audio portion to detect the utterance of a web address. Similarly, one embodiment analyzing the one or more frames of the video component may comprise performing an optical character recognition (OCR) of the frame.