Automated Media Summarization via Segment Rating
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Solution Overview
Problem
Long audiovisual presentations, such as movies and television programs, often exceed the time available for viewing, leading to missed content and inefficient media consumption due to lengthy file sizes and download times, with existing methods failing to adequately shorten these presentations while preserving important information.
Innovation Solution
A system for automatically summarizing audiovisual content by identifying and rating segments based on significance, using user preferences and machine learning, to create a condensed version that maintains the storyline and entertainment value, while reducing the content by at least 50% in length.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the audiovisual presentation is kept in full length to preserve all information, then the completeness of information is maintained, but the viewing time and file size become excessively long
Solution Approach 1:
The audiovisual presentation is divided into multiple segments based on shot boundaries and content characteristics. Each segment is independently analyzed and rated for significance, allowing selective retention or removal of segments to create summarized versions of varying lengths while preserving important information.
Solution Approach 2:
Different segments of the audiovisual presentation are treated differently based on their local characteristics and significance ratings. Important segments are retained in full or with higher priority, while less significant segments are removed or compressed, creating a non-uniform quality distribution that optimizes information preservation versus time reduction.
2Productivity
If the audiovisual presentation is shortened to reduce viewing time, then the viewing efficiency is improved, but the loss of important information increases
Solution Approach 1:
The system performs preliminary analysis of the entire audiovisual presentation before summarization, identifying shot boundaries, segmenting content, and calculating significance ratings for all segments. This pre-processing enables the system to make informed decisions about which segments to retain or remove, ensuring that important information is preserved while achieving the desired time reduction.
Solution Approach 2:
The system uses significance ratings as feedback to guide the summarization process. Segments are rated based on multiple factors including visual content, audio content, and narrative importance. This feedback mechanism allows the system to iteratively refine the selection of segments to retain, optimizing the balance between viewing efficiency and information completeness.
3Quantity of substance
If traditional editing methods are used to shorten audiovisual presentations, then the file size is reduced, but the system complexity and manual effort increase
Solution Approach 1:
The system performs automatic summarization without requiring manual intervention. It independently identifies shot boundaries, segments the audiovisual content, calculates significance ratings, and generates summarized versions. This self-service capability eliminates the need for complex manual editing processes while achieving effective file size reduction.
Solution Approach 2:
The system replaces manual editing mechanisms with automated computational processes. Instead of requiring human editors to manually review and select segments, the system uses algorithms to analyze visual and audio content, calculate significance metrics, and automatically generate summarized versions, greatly simplifying the overall system.
Data Source
AI summary
Methods, devices, systems and tools are presented that allow the summarization of text, audio, and audiovisual presentations, such as movies, into less lengthy forms. High-content media files are shortened in a manner that preserves important details, by splitting the files into segments, rating the segments, and reassembling preferred segments into a final abridged piece. Summarization of media can be customized by user selection of criteria, and opens new possibilities for delivering entertainment, news, and information in the form of dense, information-rich content that can be viewed by means of broadcast or cable distribution, “on-demand” distribution, internet and cell phone digital video streaming, or can be downloaded onto an iPod™ and other portable video playback devices.