Analysis and Search of Visual Data

Education facts

Code: EQ2425

This course introduces the principles of analysis and search of visual data, discusses fundamental concepts for similarity queries, and provides hands-on experience for selected popular visual search algorithms. The course includes topics on visual vocabularies and bags of words, image features, image feature detection and description, feature-based object recognition, classification and clustering, robust recognition, scalable recognition, compression of image feature descriptors, rate-constrained feature selection, mobile visual search, similarity queries on compressed data, identification rate for D-admissible systems, and compression schemes for similarity queries.

Entry requirements

The published source does not provide entry requirements.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Analysis and Search of Visual Data

  KTH Royal Institute of Technology

  KTH Campus

  Start date: 24 August 2026

  End date: 23 October 2026

  Pace of study: 50 %