Most of the current image retrieval systems use "one-shot" queries to a database to retrieve similar images. Typically a Knearest neighbor kind of algorithm is used, where weights measuring feature importance along each input dimension remain fixed (or manually tweaked by the user), in the computati
Relevance feature mapping for content-based multimedia information retrieval
โ Scribed by Guang-Tong Zhou; Kai Ming Ting; Fei Tony Liu; Yilong Yin
- Book ID
- 113840155
- Publisher
- Elsevier Science
- Year
- 2012
- Tongue
- English
- Weight
- 598 KB
- Volume
- 45
- Category
- Article
- ISSN
- 0031-3203
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Multimedia data comprising of images, audio and video is becoming increasingly common. The decreasing costs of consumer electronic devices such as digital cameras and digital camcorders, along with the ease of transportation facilitated by the Internet, has lead to a phenomenal rise in the amount of
Feature aggregation is a critical technique in content-based image retrieval (CBIR) systems that employs multiple visual features to characterize image content. Most previous feature aggregation schemes apply parallel topology, e.g., the linear combination scheme, which suffer from two problems. Fir