360 Video View Recommendation System
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Solution Overview
Problem
Current 360 degree video technologies lack effective methods to guide users to points of interest within the immersive environment, leading to missed objects due to lack of personalized direction recommendations.
Innovation Solution
The system uses user preference data and crowdsourced information to provide direction of view recommendations, either through visual, audio, or tactile cues, and creates pre-navigated videos that include sequences of viewing directions to highlight objects of interest, ensuring users do not miss relevant content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If 360 degree video is used to provide immersive environment, then user engagement is improved, but users may miss points of interest due to lack of direction guidance
Solution Approach 1:
The system analyzes user viewing behavior and preference data to generate real-time direction recommendations, creating a feedback loop that adapts to user interests and guides them toward missed points of interest in the 360 degree video
Solution Approach 2:
The system introduces an intermediary recommendation mechanism that acts as a guide between the user and the 360 degree video content, providing direction suggestions based on analyzed preferences to ensure points of interest are not missed
2Adaptability or versatility
If direction recommendations are provided based on user preferences, then personalized viewing experience is improved, but system complexity increases
Solution Approach 1:
The system automatically collects preference data from multiple sources (social media, user profiles, viewing behavior) and performs self-analysis to generate direction recommendations without requiring manual user configuration, reducing the perceived complexity for users
3Loss of information
If pre-navigated video is created with sequence of viewing directions, then coverage of interesting objects is improved, but video processing time increases
Solution Approach 1:
The system performs preliminary analysis of user preferences and video content before video playback to pre-determine the sequence of viewing directions, creating a pre-navigated video that ensures comprehensive coverage of interesting objects while optimizing processing efficiency
Data Source
AI summary
Disclosed embodiments provide techniques for 360 degree video visualization. Various criteria such as user preferences, and/or crowdsourced information are used as triggers to signal a user device with indications for a direction of view recommendation. The direction of view recommendation instructs or suggests to the user to perform an action to change the viewpoint so that they can observe an object that they may otherwise miss. Additionally, a pre-navigated video may be created for the user. The pre-navigated video includes a sequence of viewing directions and point-of-view changes to include viewing of objects that are deemed to be of potential interest to the user. In this way, a user can have an improved 360 degree video experience which includes customized and/or crowdsourced recommendations.