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AVI
2008
13 years 10 months ago
Scenique: a multimodal image retrieval interface
Searching for images by using low-level visual features, such as color and texture, is known to be a powerful, yet imprecise, retrieval paradigm. The same is true if search relies...
Ilaria Bartolini, Paolo Ciaccia
MM
1997
ACM
182views Multimedia» more  MM 1997»
13 years 12 months ago
VideoQ: An Automated Content Based Video Search System Using Visual Cues
The rapidity with which digital information, particularly video is being generated, has necessitated the development of tools for efficient search of these digital media. Content...
Shih-Fu Chang, William Chen, Horace J. Meng, Hari ...
SISAP
2009
IEEE
156views Data Mining» more  SISAP 2009»
14 years 2 months ago
Text-Based and Content-Based Image Retrieval on Flickr: DEMO
—We present an image retrieval system based on a combined search of text and content. The idea is to use the text present in title, description, and tags of the images for improv...
Juan Manuel Barrios, Diego Diaz-Espinoza, Benjamin...
ADBIS
2006
Springer
168views Database» more  ADBIS 2006»
14 years 1 months ago
A Hybrid Ontology and Content-Based Search Engine For Multimedia Retrieval
Abstract. Huge amounts of digital visual content are currently available, thus placing a demand for advanced multimedia search engines. The contribution of this paper is the presen...
Haralambos Doulaverakis, Evangelia Nidelkou, Anast...
MTA
2000
165views more  MTA 2000»
13 years 7 months ago
Approximating Content-Based Object-Level Image Retrieval
Object-level image retrieval is an active area of research. Given an image, a human observerdoesnot see randomdots of colors. Rather,he she observesfamiliarobjectsin the image. The...
Wynne Hsu, Tat-Seng Chua, Hung Keng Pung