Lost in quantization: improving particular object retrieval in large scale image databases

The state of the art in visual object retrieval from large databases is achieved by systems that are inspired by text retrieval. A key component of these approaches is that local regions of images are characterized using high-dimensional descriptors which are then mapped to ldquovisual wordsrdquo se...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Philbin, J, Chum, O, Isard, M, Sivic, J, Zisserman, A
Μορφή: Conference item
Γλώσσα:English
Έκδοση: IEEE 2008