The need to retrieve visual information from large image and video collections is shared by many application domains ([1, 11,) (13, 16)]. This paper describes the main features of Quicklook(2), a system that combines in a single framework the alphanumeric relational query, the content-based image query exploiting automatically computed low-level image features (such as color and texture), and the textual similarity query exploiting any textual annotations attached to image database items (such as figure captions or textual cards...).

Quicklook(2): An integrated multimedia system with learning capabilities

Gagliardi I;
2001

Abstract

The need to retrieve visual information from large image and video collections is shared by many application domains ([1, 11,) (13, 16)]. This paper describes the main features of Quicklook(2), a system that combines in a single framework the alphanumeric relational query, the content-based image query exploiting automatically computed low-level image features (such as color and texture), and the textual similarity query exploiting any textual annotations attached to image database items (such as figure captions or textual cards...).
2001
Inglese
Minerva M. Yeung, Chung-Sheng Li and Rainer Lienhart
Storage and Retrieval for Media Databases
Conference on Storage and Retrieval for Media Databases 2001
384
392
http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=905163
SPIE-INT SOC OPTICAL ENGINEERING
BELLINGHAM, WA 98227-0010
STATI UNITI D'AMERICA
Sì, ma tipo non specificato
JAN 24-26, 2001
SAN JOSE, CA
1
none
Ciocca, G; Gagliardi, I; Schettini, R
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/130247
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