Excitement Data Processing for Media Highlight Selection
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Solution Overview
Problem
Viewers face challenges in identifying the most interesting content among multiple simultaneous media broadcasts, such as sports games or movies, as existing technologies lack efficient methods to filter and record only the most exciting portions in real-time.
Innovation Solution
A system utilizing excitement data to identify and record the most exciting portions of media programs, which includes a digital video recorder with a processor that receives and processes excitement data to select and store only the most interesting parts of programs, allowing for later viewing or live streaming of highlight reels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If viewers watch multiple simultaneous broadcasts to identify interesting content, then they can find exciting moments, but they lose time and cannot view all programs in entirety
Solution Approach 1:
The system automatically monitors multiple broadcasts and identifies exciting moments without viewer intervention. The processor analyzes audio and video signals to detect excitement levels, automatically creating highlight reels and notifying viewers, eliminating the need for manual program switching and time investment.
Solution Approach 2:
The patent replaces the mechanical action of manually switching between broadcasts with an automated electronic system. The processor uses audio signal analysis and excitement detection algorithms to automatically identify and segment exciting moments, substituting human time and effort with automated computational processes.
2Reliability
If viewers record entire programs to ensure they capture all interesting portions, then they have complete content available, but they consume excessive storage space
Solution Approach 1:
The system extracts only the exciting portions from complete programs by analyzing audio and video signals in real-time. The processor identifies segments where excitement thresholds are exceeded and separates these highlights from the rest of the program, storing only the extracted exciting moments rather than entire broadcasts.
Solution Approach 2:
The patent changes the recording parameter from capturing all content to capturing only content above a certain excitement threshold. By dynamically adjusting recording based on detected excitement levels, the system maintains reliability of interesting content while dramatically reducing storage requirements through selective recording.
3Adaptability or versatility
If viewers manually monitor multiple broadcasts to identify exciting moments, then they can select interesting content, but the process becomes complex and difficult to manage
Solution Approach 1:
The system performs automatic monitoring and selection of exciting moments across multiple broadcasts without requiring viewer intervention. The processor independently analyzes audio signals, detects excitement levels, and compiles highlight reels, eliminating the complexity of manual monitoring while maintaining the ability to select from multiple programs.
Data Source
AI summary
Processes, systems and devices are described to enhance the television or other media viewing experience based upon excitement data that is associated with the program. Excitement data can be used to identify the most exciting portions of media programs, therefore allowing for improved identification of programs or portions of programs for viewing, streaming, recording or other purposes.


