Scene Identification in Video Streaming via Time Code Metadata
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Solution Overview
Problem
Existing video streaming technologies do not allow users to easily identify and replay specific scenes from live or pre-recorded video content on multiple devices, limiting user flexibility and convenience in watching video content.
Innovation Solution
A system that enables users to identify and replay scenes from video content by determining scene parameters using interest event indicators, caching video segments, and embedding metadata with starting time codes, allowing scenes to be shared and replayed across devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If video content is streamed over a network for on-demand viewing, then user flexibility and convenience are improved, but the ability to easily identify and replay specific scenes is worsened
Solution Approach 1:
The video content is divided into discrete scenes with identifiable boundaries. Scene detection algorithms automatically segment the continuous video stream into meaningful units (scenes) based on visual changes, metadata, or user-defined criteria. This segmentation enables users to navigate to and replay specific scenes without watching the entire video, resolving the contradiction by making scene identification straightforward while preserving on-demand viewing flexibility.
Solution Approach 2:
A scene detection and metadata system acts as an intermediary between the video content and the user interface. This intermediary automatically analyzes video content, identifies scene boundaries, and generates scene information (timestamps, descriptions, thumbnails) that is then presented to users. This mediator handles the complex task of scene identification automatically, making the replay function easy to use while maintaining the flexibility of network-based video streaming.
2Adaptability or versatility
If users can watch video content on multiple devices, then convenience is improved, but scene identification and sharing across devices becomes more complex
Solution Approach 1:
The scene detection system and video player are designed to be device-agnostic and platform-independent. Scene metadata (timestamps, scene identifiers, boundaries) is stored in a universal format that can be accessed and interpreted by any device running the video player application. This universality allows users to identify scenes on one device and replay them on another device without complexity, as the scene information travels with the video content or is accessible through a unified account system.
Solution Approach 2:
Scene information (metadata, timestamps, identifiers) is copied and transmitted between devices rather than requiring complex synchronization of entire video files. When a user identifies a scene on one device, the scene metadata is copied to the user's account or device profile, enabling instant replay on other devices. This copying approach simplifies multi-device scene sharing by transferring only the essential scene identification data rather than the entire video content.
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. A scene may be created with the segment based on a starting time code of the segment. The scene with the segment may be provided for playback.