Geo-Tagging

Train Machine Learning models to Identify Famous Landmarks and Locations in Films.. Types of Geo-Tags include: Generic Terms like Beach, Desert, Snowy Mountains, Rainforest, Glaciers, Lake, Theme Park etc.. Names of specific Cities or Countries: Canada, Antartica, Switzerland, Japan, Dubai, Las Vegas, Africa etc.. Tourist Attractions and Landmarks: e.g. Grand Canyon, Disney Land, Banff National…

Object Detection

In different Video Genres, Machine Learning models can automatically detect different kinds or categories of “Objects”: Video Games & Animation Films: detect Popular Fictional Characters, Comic Book Superheroes & Cartoons Fashion: detect Fashion Apparel and Accessories worn by Actors or Models Sports Videos: detect Team Logos, Country Flags, Banners and Sporting Equipments Wild-Life Documentary Films:…

Activity Recognition

Train Machine Learning models to detect Indoor – Outdoor Activities, such as Painting, Cooking, Jogging, Cycling, Swimming, Skating, Surfing, Hiking, Rock Climbing etc.. Applications in Advertising: detect Outdoor Sports Activities to display Ads for related Sporting Equipments and Accessories, e.g. Boxing Gloves, Swim Suit, Skateboard, Mountain Bike etc..

Facial Expressions

Capture Facial Expressions of Actors from Close-Up Shots Detect Sentiments or Video Genres (Comedy, Tragedy, Horror, Thriller, Mystery, Drama), from Facial Expressions of Actors in the Scene Map Facial Expressions of Famous Actors and Celebrity Figures into Animated Cartoon Characters Keywords: Facial Features, Sentiment Analysis

Motion Capture

Capture Hand Gestures & Body Movements from Dance & Action Videos without Kinetic Motion Sensors Capture Body Postures and Movements from Popular Dance Choreographies, Action or Martial Arts Scenes Simulate Gestures & Body Movements of famous Actors and Dancers in Animated Cartoon Characters Keywords: Martial Arts, Choreography, Gesture + Pose Detection

Generative Neural Nets

Generative Adversarial Networks (or GANs) have gained lot of popularity in recent years to generate new artificial data by feeding deep learning models with real data samples.. The model learns to create new samples by following the same distribution or patterns as in the real data-set used for training.. Applications of GANs in Media &…

Style Transfer

Neural Style Transfer to produce Artistic Filters and Visual Effects in Still Pictures or Videos.. Sample Effects produced by Style Transfer: Originals: