Playback Timeline Generation for Condensed Content Viewing
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Solution Overview
Problem
Consumers face challenges in viewing episodic content on their own schedule, as they may miss important scenes if they join a program part way through its scheduled display time, and existing systems do not effectively condense content to fit within reduced time intervals while ensuring important segments are included.
Innovation Solution
A system that retrieves information about the selected program and user preferences to generate markers indicating when a condensed version of the content can be viewed within a reduced time interval, selecting a subset of segments that are important and relevant to the user, allowing them to catch up on essential parts without missing critical moments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a user joins a program part way through the scheduled display time, then the user can view the program on their own schedule, but the user may miss important scenes
Solution Approach 1:
The program is divided into discrete segments or chapters that can be independently selected and displayed. This allows the system to identify which segments are most important and include them in a condensed version, ensuring users don't miss key content when joining mid-program.
Solution Approach 2:
The system pre-identifies and marks important segments before the user joins the program. By having this information prepared in advance, the system can quickly generate an optimized condensed version that includes essential content, allowing users to catch up efficiently without missing important scenes.
2Loss of time
If the system provides a condensed version of the program, then the user can view important content within reduced time interval, but the system complexity increases
Solution Approach 1:
By segmenting the program into manageable portions with pre-identified important content, the system can generate condensed versions through straightforward selection and reassembly of segments, reducing the complexity burden while achieving time efficiency.
Solution Approach 2:
The system creates a condensed version by copying and selectively including only the important segments from the original program. This approach simplifies the process by working with existing segment data rather than requiring complex real-time analysis or generation.
3Productivity
If the system selects a subset of segments to form a condensed version, then the content fits within available time slots, but the selection process becomes more complex
Solution Approach 1:
The system performs segment importance identification in advance, creating a pre-ranked list of segments before the user needs to view condensed content. This preliminary classification simplifies the selection process during actual viewing by allowing the system to quickly pick top segments based on pre-determined criteria rather than analyzing content in real-time.
Solution Approach 2:
The system uses viewing history and user preferences as feedback to refine segment selection. By learning from past behavior patterns, the system can automatically adjust which segments are considered most important, making the selection process more efficient and accurate over time without requiring complex manual configuration.
Data Source
AI summary
The system generates a display providing condensing content for display under time constraints. In response to a selection of a program that has already started, the system retrieves information about the program. Based on this information, and information about the user, the system selects a subset of segments of the program, forming a shorter version of the content that fits within a reduced time interval, from the time of selection to a scheduled end time. Accordingly, the user is presented with the condensed version of the currently selected program by, including the important or relevant segments of the program. The system generates the condensed content by selecting segments of the program that are determined to be important to the user and that cumulatively fit with the available viewing time. The system may sort, score, or otherwise rank segment identifiers based on user profile information.


