Scene Identification in Video Streaming Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video streaming technologies do not effectively allow users to identify and replay specific scenes from video content on multiple devices, limiting user flexibility and convenience in watching video content over a network.
Innovation Solution
A system that identifies scenes based on user actions and heuristics, allowing users to replay interest events on both first and second screen devices, with scene parameters determined by time codes and user preferences, enabling scene creation, sharing, and playback across devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If video content is streamed over a network to multiple devices, then user flexibility and convenience are improved, but the ability to identify and replay specific scenes across devices is limited
Solution Approach 1:
The video content is divided into discrete scenes with unique identifiers and time codes. Each scene can be independently identified, played back, and shared across devices. The system segments the continuous video stream into manageable scene units that can be manipulated individually by users.
Solution Approach 2:
The system provides feedback to users about available scenes through scene information displays showing thumbnails, descriptions, and time codes. When users interact with scenes on one device, the system feeds back scene identifiers and playback information to enable continued interaction on other devices.
2Ease of operation
If users can watch video content on multiple devices, then convenience is improved, but scene tracking and replay functionality deteriorates
Solution Approach 1:
Scene information including identifiers, time codes, and metadata is prepared and made available in advance across all devices before the user needs to replay a scene. This preliminary preparation ensures that when a user wants to replay a scene on a different device, the scene data is already available and can be immediately retrieved without loss of tracking information.
Solution Approach 2:
Scene information and identifiers are copied across multiple devices and stored in a centralized location accessible by all devices. When a user identifies a scene on one device, the scene data is copied to other devices, ensuring consistent scene tracking and replay capability across the entire device ecosystem.
3Adaptability or versatility
If the system provides detailed scene information and recommendations, then user experience is improved, but system complexity increases
Solution Approach 1:
The system automatically generates scene information, identifies interesting events, and creates recommendations without requiring manual user input. Scene detection algorithms automatically analyze video content to identify scenes and generate metadata, while recommendation systems automatically suggest scenes based on user viewing patterns and preferences, reducing the need for complex manual configuration.
Solution Approach 2:
The system provides multiple functions including scene identification, scene playback, scene sharing, and scene recommendations through a unified interface. The same scene information structure supports multiple user interactions (viewing, replaying, sharing), and the system handles various device types and video formats through a universal scene management framework.
Data Source
AI summary
Technology is described for identifying a scene in video content. Video content to be played on a device may be provided. A segment of the video content that includes an occurrence of an interest event may be identified, the segment being identified based on instructions received while the video content is being provided to the device. A scene may be created with the segment based on a starting time code of the interest event. The scene with the segment may be provided for playback.