360° Video Commentary Rating via Object Attribute Matching
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Solution Overview
Problem
Users face difficulties in engaging in lively conversations about thematic content with others who have not seen the content, are not available, or have forgotten it, due to limitations in existing video capture technologies that only record a limited field of view and lack effective methods for selecting high-quality commentary from numerous social media contributions.
Innovation Solution
A system utilizing a 360° video camera to capture commentary with a 360° field of view, identifying physical objects and attributes within the environment, and determining commentary ratings based on quality and relevance values associated with these attributes, allowing for the selection and presentation of high-quality and relevant commentaries to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a 360° video camera is used to capture commentary, then the field of view is improved to include the entire environment, but the device complexity increases
Solution Approach 1:
The system segments the captured video feed into multiple regions of interest (ROIs) including the speaker, audience members, and environmental elements. This segmentation allows the complex 360° video data to be divided into manageable components that can be processed independently for attribute detection and commentary quality assessment.
Solution Approach 2:
The patent introduces an intermediary processing system that includes audio processing modules, video processing modules, and object detection algorithms. These intermediaries translate the raw 360° video and audio data into structured information about physical objects, their attributes, and spatial relationships, making the complex data usable for commentary rating.
2Measurement precision
If commentary quality assessment based on physical object attributes is implemented, then the ability to select high-quality commentary is improved, but the processing time and complexity increase
Solution Approach 1:
The system performs preliminary detection and classification of physical objects and their attributes during the commentary capture phase. By pre-identifying the speaker, audience members, and environmental elements and storing their attributes, the system avoids the need for complex real-time analysis when assessing commentary quality, thus reducing processing time.
Solution Approach 2:
The commentary assessment system uses self-generated data from the 360° video and audio capture to automatically evaluate commentary quality. The system detects physical objects, extracts their attributes, and uses these attributes to assess commentary quality without requiring external validation or manual review, enabling rapid automated assessment.
3Loss of information
If 360° video capture with environmental context is used, then the information content is improved, but the difficulty of detecting and measuring relevant attributes increases
Solution Approach 1:
The system applies local quality analysis by focusing attribute detection on specific regions of interest within the 360° environment. Instead of analyzing the entire spherical video feed uniformly, the system identifies key areas such as the speaker's face, audience reactions, and relevant environmental objects, then applies specialized detection algorithms to these localized regions, reducing overall complexity.
Solution Approach 2:
The patent transforms the three-dimensional spatial information from the 360° video into a two-dimensional attribute space for analysis. By projecting spatial relationships and object positions into structured attribute data (such as distance, orientation, and spatial coordinates), the system makes the environmental context measurable and analyzable using standard computer vision techniques.
4Ease of operation
If automated commentary rating systems are implemented, then the ease of finding relevant commentary is improved, but the device and system complexity increases
Solution Approach 1:
The system implements feedback mechanisms where commentary ratings are continuously refined based on user interactions and engagement metrics. The automated rating system uses feedback from audience reactions detected in the 360° video (such as applause, laughter, or attentive listening) to adjust and improve commentary quality assessments, making the system progressively more accurate without increasing complexity.
Solution Approach 2:
The patent employs parameter changes by adjusting the weights and thresholds of various physical object attributes in the commentary assessment algorithm. As the system accumulates data, it dynamically modifies parameters such as the importance of speaker proximity, audience engagement level, and environmental context relevance, optimizing the rating system's performance without requiring structural changes to the underlying system.
Data Source
AI summary
Commentary rating determination systems and methods determine a commentary rating for commentary about a subject media content event that has been generated by a community member. An exemplary embodiment receives video information acquired by a 360° video camera, identifies a physical object from the received video information, determines a physical attribute associated with the identified physical object, wherein the determined physical attribute describes a characteristic of the identified physical object, compares the determined physical attribute of the identified physical object with a plurality of predefined physical object attributes stored in a database, and in response to identifying one of the plurality of predefined physical object attributes that matches the determined physical attribute, associates the quality value of the identified one of the plurality of predefined physical object attributes with the identified physical object. Then, the commentary rating is determined for the commentary based on the associated quality value.