Visual Media Content Analysis

Visual Media Content Analysis is a research line focused on analyzing and understanding visual content from multimedia sources. It encompasses advanced
image and video processing techniques to extract meaningful information, pattern recognition and feature detection in visual content, content-based retrieval and classification systems, metadata extraction and analysis from visual media, and automated content understanding and categorization.

• Multimodal Concept Identification: AI-based analysis for image captioning, video captioning, video summarisation and multimedia deduplication. 
• Scene Understanding: AI-based analysis for spatio-temporal visual information: objects, actions, events and contexts. 
• Scene Text Analysis: AI-based text localisation, recognition and interpretation. 
• Fast Triage of Evidence: AI-based perceptual hashing for evidence indexing and retrieval. Visual Phishing: AI-based analysis for visual concept decomposition and form template understanding. 
• Biometrics (face): AI-based face detection, recognition, deepfakes, face quality, facial expression recognition and facial attributes.