Profimedia evaluation platform
The MUFIN Image Search system demonstrates the power of general search engine MUFIN (Multi-Feature Indexing Network). The mission of the MUFIN project is to develop a versatile indexing and searching system focusing on general similarity search in very large databases. All individual technologies incorporated in MUFIN are based purely on the metric model of data. Read more about MUFIN, its architecture, and its features.
Image dataset and similarity
The MUFIN image search system is an "instance" of MUFIN for content-based similarity search on large datasets of digital images. The image database has the following characteristics:
Please, note that global descriptors, in general, capture the overall characteristics of the images. Adopting this approach, our similarity measure does not locate individual objects from the query image in other images but compares the images as a whole.
The weights of particular descriptors were determined experimentally trying to capture the human notion of similarity for non-specific images. As the system is based purely on the metric space model of data, we can use different weights and even different image charactersticss without touching the indexing and searching techniques.
Indexing and searching
The specific indexing and searching structure of this instance is formed by:
See the Publications section for sources containing detailed information about these and other MUFIN technologies.
See the Implementation section for implementation details.