Video Stream Personalization via Policy-Based Image Alteration
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Solution Overview
Problem
Users are limited to viewing a selected video stream without the ability to customize it based on personal interests, as they can only choose from available options provided by the content provider.
Innovation Solution
A personalization policy is created that allows users to identify and alter specific video images within a stream, enabling dynamic changes to the video stream by producing a modified output stream that includes image alterations such as zooming, enhanced resolution, or replacing video images, which can be integrated into the original stream.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users view a selected video stream as provided, then the system maintains simple operation and low processing complexity, but the user cannot customize the video stream based on personal interests
Solution Approach 1:
The video stream is segmented into individual video images or frames, allowing selective identification and alteration of specific segments. The personalization policy targets specific video images within the stream rather than processing the entire stream uniformly, enabling customized modifications while maintaining efficiency.
Solution Approach 2:
A personalization policy acts as an intermediary layer between the user and the video stream. This policy contains identification criteria and alteration instructions that mediate the interaction, allowing users to customize video content without direct complex manipulation of the stream itself. The policy serves as a configurable interface that translates user preferences into automated processing rules.
2Ease of operation
If users can only choose from available video stream options, then the system maintains simple structure and operation, but user engagement and satisfaction are limited
Solution Approach 1:
The system performs preliminary identification of video images within the stream based on criteria defined in the personalization policy. By pre-identifying target video images and preparing alteration instructions before actual playback or delivery, the system enables on-demand personalization without requiring complex real-time processing during stream delivery.
3Adaptability or versatility
If the system processes and alters video images in real-time, then user personalization is achieved, but processing time and computational resources increase
Solution Approach 1:
The system identifies and flags target video images for alteration before the actual video stream delivery or during idle processing periods. By performing the identification phase in advance and separating it from the alteration phase, the system reduces real-time processing requirements and enables efficient personalization without significant delays in stream delivery.
Data Source
AI summary
A method and system for video stream personalization. A personalization policy may be accessed. The personalization policy may include an image identification and an image alteration to a video image identified by the image identification. At least one instance of the video image may be identified in a video stream. An output stream may be produced from the video stream in response to the personalization policy. The output stream may include the image alteration to the video image.