Image Processing functionality analyses images that can be found in public articles or posts and their reproductions, and classifies them to pre-defined labels. The outcome is the overall image’s scene categorisation, and works with an expected accuracy of over 80%.
Brand image recognition
Brand image recognition (& video) feature will result in the recognition of branding on elements of an image, such as objects in the foreground or background. The key way of working will be through accurate logo detection.
Demographics recognition
Age and gender detection will also an outcome of the image analysis.
Structure content analysis
The questions to answer and the respective labels for image classification are the following:
WHO was involved? Information around demographics, relation of people in the picture (i.e. family, co-workers…), celebrities, etc
WHAT happened? what objects are present in the picture (fashion items, beauty items, food etc)
WHEN did it take place? events (i.e. music concert, sports event…)
WHEREdid it take place? i.e. (INDOOR (public indoors vs. private indoors) HOUSE AREAS (kitchen, rooms, bathrooms, living rooms) / OUTDOOR – SCENERY: (beach, nature, city, public areas- restaurants, cinema, theatre, bars etc, football fields, stadiums etc) / TRAVEL MEDIUM (airplanes- airports – boats – bike – cars – trains – bus)
WHY did that happen?
HOW did it happen? i.e. OCCASIONS: socializing, coffee occasions, drinking occasions, dancing occasions, chilling, eating occasions, cooking occasions, entertainment, family time, sports, outdoor activities, meditating/ praying, touristic attractions, pampering (beauty – haircut – spa) – FACIAL EXPRESSIONS EMOTIONS RECOGNITION