Title :
Exploiting the JPEG compression scheme for image retrieval
Author :
Shneier, Michael ; Abdel-Mottaleb, Mohamed
Author_Institution :
Office of Naval Res., Arlington, VA, USA
fDate :
8/1/1996 12:00:00 AM
Abstract :
We address the problem of retrieving images from a large database using an image as a query. The method is specifically aimed at databases that store images in JPEG format, and works in the compressed domain to create index keys. A key is generated for each image in the database and is matched with the key generated for the query image. The keys are independent of the size of the image. Images that have similar keys are assumed to be similar, but there is no semantic meaning to the similarity
Keywords :
data compression; image coding; very large databases; visual databases; JPEG compression scheme; image retrieval; index keys; large database; query image; Discrete cosine transforms; Image coding; Image databases; Image generation; Image retrieval; Indexes; Information retrieval; Layout; Multimedia computing; Transform coding;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
