Image Retrieval Overview - Filip Radenović
In this talk, we will overview the topic of image retrieval. Initially, we will focus on retrieval methods based on Bag-of-Words (BoW) image representation, which exploit geometric constraints. We will then discuss how standard similarity-based image retrieval formulation uses BoW with geometry to satisfy only a single user requirement. Then, we will show how different formulations employ the same methods to fulfill different requirements in other tasks, such as online browsing of image collections, image analysis based on large collections of photographs, or 3D model construction. Finally, we will present how BoW with geometry dispenses with the need for costly manual image annotation to perform Convolutional Neural Network (CNN) training.
Speaker: Filip Radenovic (https://www.linkedin.com/in/filip-radenovi%C4%87-8a1a5759/)
18:15 - (19:45) Talk + discussion
20:00 - ... Networking
Machine Learning Meetups (MLMU) is an independent platform for people interested in Machine Learning, Information Retrieval, Natural Language Processing, Computer Vision, Pattern Recognition, Data Journalism, Artificial Intelligence, Agent Systems and all the related topics. MLMU is a regular community meeting usually consisting of a talk, a discussion and a subsequent networking allowing people to network, inspire each other and learn about exciting stuff. At the end of the year 2016, MLMU spread also to Brno and Bratislava.