OSD Object Extraction for Content Information Acquisition
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Solution Overview
Problem
Smart TVs and image display devices need to acquire information about content to support user-customized and recommendation services, but existing technologies lack efficient methods to extract and provide this information accurately.
Innovation Solution
A method involving an on-screen display (OSD) image analysis to extract objects, such as GUIs, text, or videos, which are then used to collect content information, with a server system comparing these features to stored data to determine content provider details.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content information is extracted from OSD images, then service reliability and accuracy are improved, but device complexity increases due to image processing and object extraction requirements
Solution Approach 1:
The patent introduces an intermediary processing system that extracts objects from OSD images and transmits them to a server for content information acquisition. This mediator approach separates the complex image processing tasks from the core service functions, allowing the display device to maintain simplicity while still achieving accurate content information extraction through the intermediary object extraction unit and server system.
2Measurement precision
If object extraction from OSD images is performed, then content information accuracy is improved, but processing time increases
Solution Approach 1:
The patent implements preliminary action by pre-processing OSD images to extract objects and their features before the actual content information acquisition is needed. The object extraction unit continuously monitors and extracts objects from OSD images, preparing the data in advance so that when content information is required, the server can quickly match the pre-extracted objects without performing time-consuming extraction operations at the moment of need.
3Adaptability or versatility
If multiple types of OSD images are analyzed, then adaptability to different content providers is improved, but measurement and detection difficulty increases
Solution Approach 1:
The patent applies universality by designing a multi-functional object extraction unit that can handle various types of OSD images from different content providers using a unified approach. The system extracts objects such as text, logos, and graphical elements from diverse OSD formats and converts them into standardized feature data, enabling the same extraction mechanism to adapt to multiple content providers without requiring provider-specific processing algorithms.
Data Source
AI summary
A method of acquiring information about content includes the operations of receiving a video signal from an external apparatus connected to an image display apparatus, extracting an object included in an on screen display (OSD) image from an image that is produced using the video signal, and collecting the information about content by using the extracted object.