Multimedia Scene Processing Information Embedding
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Solution Overview
Problem
Consumers face challenges in efficiently viewing important or exciting scenes within multimedia content due to its unedited and untagged nature, leading to a less than ideal viewing experience when trying to fast-forward through content.
Innovation Solution
A method and system for embedding scene processing information into multimedia sources, analyzing audio and video data to identify important scenes, and assigning importance values, allowing users to easily access summarized versions or jump to highlighted moments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If consumers fast-forward through multimedia content to view it in a shorter period, then viewing time is reduced, but important or exciting scenes may be missed
Solution Approach 1:
The system performs preliminary analysis of the multimedia content to identify and tag important scenes before the user views it. Importance values are assigned to different scenes in advance, allowing the user to later access only the important portions without having to view the entire content, thus reducing viewing time while preserving important information.
Solution Approach 2:
The patent introduces an intermediary processing layer that analyzes the multimedia content and generates importance metadata. This intermediary system acts as a mediator between the raw content and the user, providing processed information (importance values) that helps the user efficiently navigate to important scenes without missing critical content while fast-forwarding.
2Stability of the object's composition
If multimedia content is delivered in unedited form with no scene tagging, then content integrity is maintained, but user ability to quickly access important scenes is reduced
Solution Approach 1:
The system segments the continuous multimedia content into discrete scenes and assigns importance values to each segment. This segmentation allows the content to be divided into manageable units that can be independently evaluated and accessed, improving ease of operation while maintaining the integrity of the original content through non-intrusive metadata tagging.
Solution Approach 2:
The content is pre-processed to identify and tag important scenes before delivery to the user. This preliminary action of analyzing and marking scenes occurs in advance, allowing the content to remain intact while gaining enhanced navigability features that improve user access efficiency without altering the original content composition.
3Ease of operation
If scene processing information is embedded in multimedia sources, then quick access to important scenes is enabled, but processing complexity increases
Solution Approach 1:
The system employs automated analysis algorithms that independently evaluate multimedia content and assign importance values without requiring manual intervention. This self-service approach to scene identification and tagging reduces the need for complex manual processing while enabling efficient scene access, thereby improving ease of operation without proportionally increasing processing complexity.
Data Source
AI summary
Disclosed are systems and methods for generating and embedding scene processing information in a multimedia source. Scene processing information is generated based on an analysis of audio, video and data properties of the multimedia source. The embedded scene processing information can be extracted from the multimedia source to assist in generating playback of the multimedia source as well as generating a summarized playback of the multimedia source.