Paper Info
Title
ADAM: a system for jointly providing ir and database queries in large-scale multimedia retrieval
Abstract
The tremendous increase of multimedia data in recent years has heightened the need for systems that not only allow to search with keywords, but that also support content-based retrieval in order to effectively and efficiently query large collections. In this paper, we introduce ADAM, a system that is able to store and retrieve multimedia objects by seamlessly combining aspects from databases and information retrieval. ADAM is able to work with both structured and unstructured data and to jointly provide Boolean retrieval and similarity search. To efficiently handle large volumes of data it makes use of a signature-based indexing and the distribution of the collection to multiple shards that are queried in a MapReduce style. We present ADAM in the setting of a sketch-based image retrieval application using the ImageNet collection containing 14 million images.
Year
DOI
Venue
2014
10.1145/2600428.2611182
SIGIR
Keywords
Field
DocType
boolean retrieval,multimedia,systems and software,similarity search,databases
Data mining,Data retrieval,Computer science,Search engine indexing,Image retrieval,Unstructured data,Nearest neighbor search,Sketch,Human–computer information retrieval,Information retrieval,Multimedia,Database,Visual Word
Conference
Citations 
PageRank 
References 
1
0.39
3
Authors
3
Name
Order
Citations
PageRank
Ivan Giangreco19311.64
Ihab Al Kabary2407.28
H. Schuldt39820.60