Similarity-based partial image retrieval guaranteeing same accuracy as exhaustive matching

• Published in: 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763) Vol. 3; pp. 1895 - 1898 Vol.3
• Main Authors: Kimura, A., Kawanishi, T., Kashino, K.
• Format: Conference Proceeding
• Language: English
• Published: Piscataway NJ IEEE 2004
• Subjects: Applied sciences; Artificial intelligence; Broadband communication; Computer science; control theory; systems; Discrete cosine transforms; Exact sciences and technology; Image databases; Image retrieval; Image storage; Information retrieval; Information systems. Data bases; Laboratories; Memory organisation. Data processing; Pattern recognition. Digital image processing. Computational geometry; Pixel; Shape; Software; Spatial databases; Multimedia; Database query; Similarity; Image retrieval; Image databank; Information retrieval; Spacing; Case based reasoning

We propose a new framework for quick and accurate partial image retrieval from a huge number of images based on a predefined distance measure. Finding partial similarities generally requires a huge amount of storage space for indexes due to the large number of portions of images. The proposed method...