TOP-SURF: a visual words toolkit

TOP-SURF is an image descriptor that combines interest points with visual words, resulting in a high performance yet compact descriptor that is designed with a wide range of content-based image retrieval applications in mind. TOP-SURF offers the flexibility to vary descriptor size and supports very fast image matching. In addition to the source code for the visual word extraction and comparisons, we also provide a high level API and very large pre-computed codebooks targeting web image content for both research and teaching purposes. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval, D.0 [Software]: General General Terms Algorithms, Design, Documentation, Experimentation. Keywords Content-based Image Retrieval, Interest Points, Visual Words, Bag-of-Words, Codebook, Open Source.

• Type: Conference
• Year: 2010
• Where: MM
• Authors: Bart Thomee, Erwin M. Bakker, Michael S. Lew
• Keywords: Content-based Image Retrieval, Image, MM 2010, Multimedia, Visual Words