Guided Video Playback With Multimodal Summaries and Query Prompts
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Solution Overview
Problem
Existing video playback methods require repetitive navigation, leading to extended playback time, increased computational cost, and reduced user engagement due to inefficient retrieval of relevant content.
Innovation Solution
Implementing a system that generates guided content using multi-modal neural networks to provide summaries and question prompts during video playback, allowing users to quickly access key points and interact with the video efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users navigate video repeatedly to find relevant content, then users can locate specific information, but total playback time increases and computational cost increases
Solution Approach 1:
The system pre-generates guided content including summaries and question prompts before video playback. This preliminary action allows users to access key information without repeatedly navigating the video, thus reducing total playback time while maintaining information retrieval effectiveness.
Solution Approach 2:
The guided content acts as an intermediary between the video and the user. Instead of users directly navigating the video to find information, they interact with the pre-generated summaries and question prompts that guide them to relevant sections, reducing unnecessary navigation and playback time.
2Loss of information
If users navigate video repeatedly to find relevant content, then users can locate specific information, but computational cost increases due to redundant operations
Solution Approach 1:
The system performs content analysis and generates guided content before video playback. This preliminary computational work eliminates the need for redundant video decoding and processing during playback when users navigate repeatedly, significantly reducing computational cost and energy consumption.
Solution Approach 2:
The system creates a simplified copy of the video content in the form of guided content (summaries and question prompts). This copy contains the essential information structure, allowing users to navigate and search efficiently without requiring the system to repeatedly process the full video data.
3Reliability
If users pause and rewind video to understand content, then users can comprehend difficult portions, but user engagement decreases and playback time increases
Solution Approach 1:
The system pre-generates guided content that anticipates user comprehension needs by providing summaries and question prompts before playback. This allows users to understand content structure and key points without pausing and rewinding, maintaining engagement while ensuring comprehension.
Solution Approach 2:
The guided content includes question prompts that provide feedback to users about what to look for in the video. This structured feedback helps users understand content more effectively without needing to pause and rewind, as the questions guide their attention to important sections.
Data Source
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AI summary
Methods, systems, and apparatuses, including computer programs encoded on computer storage media, for processing a video to generate guided content. Then presenting the guided content during video playback along with responses to user queries. In particular, the described techniques use multi-modal neural networks to process the video to generate summaries, question prompts, responses to question prompts, and responses to user queries that take into account video context, previous user queries, or both. As a result, the described techniques increase video playback efficiency by presenting engaging guided content that enhance user video playback experience and by presenting responses to user queries that are maximally relevant to the user in real-time.