edoc

ADAM - a system for jointly providing IR and database queries in large-scale multimedia retrieval

Giangreco, Ivan and Al Kabary, Ihab and Schuldt, Heiko. (2014) ADAM - a system for jointly providing IR and database queries in large-scale multimedia retrieval. In: SIGIR'14 : proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, July 6 - 7, 2014, Gold Coast, Queensland, Australia. New York, NY, pp. 1257-1258.

[img] PDF - Accepted Version
2260Kb

Official URL: http://edoc.unibas.ch/dok/A6298833

Downloads: Statistics Overview

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 demo, we present 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.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik
05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Datenbanken (Schuldt)
UniBasel Contributors:Giangreco, Ivan and Schuldt, Heiko and El-Kabary, Ihab
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Bibsysno:Link to catalogue
Publisher:ACM
ISBN:978-1-4503-2257-7
Note:Publication type according to Uni Basel Research Database: Conference paper
Language:English
Identification Number:
Last Modified:04 May 2018 14:57
Deposited On:05 Jun 2015 08:53

Repository Staff Only: item control page