Semantic Association of Images with Augmentation Data
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Solution Overview
Problem
Conventional search systems fail to provide users with semantically relevant information when capturing images of objects, as they only return literal data, lacking cultural or societal context, which is not what users desire in real-time scenarios, such as determining time from an image of a wrist or weather from an image of the sky.
Innovation Solution
A method and apparatus that utilize image recognition and a semantic associations database to identify secondary meanings of objects within digital image data, enabling the transmission of semantically relevant augmentation data to mobile devices, which can include contextual information like current time or weather based on the object's secondary meaning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional search systems are used to retrieve information based on image queries, then literal data about the object is returned, but semantically relevant contextual information (such as cultural or societal context) is not provided
Solution Approach 1:
The patent introduces a semantic associations database as an intermediary component between the image recognition system and the search system. This database stores pre-computed semantic relationships between objects and their contextual meanings, enabling the system to retrieve semantically relevant information without directly increasing the complexity of the core image processing pipeline. The intermediary database acts as a buffer that translates object identities into semantically meaningful queries.
Solution Approach 2:
The system performs preliminary action by pre-computing and storing semantic associations between objects and their contextual meanings in advance. Instead of computing semantic relationships in real-time during image processing, the system prepares semantic association data beforehand in the semantic associations database, allowing for faster retrieval of contextually relevant information during actual use.
2Loss of information
If image recognition analysis is performed to identify objects, then object identity is determined, but secondary meanings or contextual interpretations are not provided
Solution Approach 1:
The patent applies preliminary action by pre-computing semantic associations between objects and their secondary meanings during an offline phase. The semantic associations database is populated in advance with relationships between object identities and their contextual interpretations, so that during real-time operation, the system only needs to perform a simple database lookup based on the recognized object identity, rather than computing semantic meanings from scratch.
Solution Approach 2:
The system creates a simplified copy or representation of semantic knowledge in the form of a structured database. Instead of relying on complex real-time reasoning to determine secondary meanings, the system uses pre-stored semantic association data that mirrors the structure of human semantic understanding, enabling fast retrieval of contextual information through simple key-based lookups.
3Adaptability or versatility
If literal search results are returned for image queries, then basic object information is provided, but culturally relevant or societally contextualized information is missing
Solution Approach 1:
The semantic associations database serves as an intermediary that adapts generic object recognition results into culturally relevant contextual information. The database stores pre-computed associations that map object identities to culturally significant interpretations, allowing the system to provide adaptability across different cultural contexts without requiring complex real-time cultural reasoning capabilities.
Data Source
AI summary
A method and apparatus for enabling semantic association of images with augmentation data is described. The method may include receiving digital image data captured by a mobile device. The method may also include performing image recognition analysis on an object within the digital image data to identify the object. The method may also include querying a semantic associations database based on a determined identify of the object to determine a secondary meaning associated with the object, and transmitting augmentation data to the mobile device that is semantically relevant to the object based on the secondary meaning.