Creating anonymous image classification and description vectors for privately owned assets and providing anonymised search for object vectors
Normalisation of natural language image description to optimise search indexes by application of image classifiers, word2vec algorithms and predictive recommendation.
Object description provided in natural language creates a complex amount of data containing noise, due to individual interpretation of object properties, language preference and syntax.
When creating search indexes in an automated fashion, indexing this kind of data creates overhead and leads to unsatisfying results when searching for specific objects by entering search criteria.
Creating normalised semantic descriptors for objects improves indexing, accuracy of search results and enables automated processing of these vectors.