Extreme Video Retrieval Maximizing the Synergy between Systems and Humans TRECVID meeting – November 15, 2005 The Informedia Team Carnegie Mellon University - Informedia Digital Library - Document - PDFSEARCH.IO

First Page		Document Content
Date: 2005-12-21 07:48:38 Image retrieval Browse Video search engine Carnegie Mellon University Information Science Alex Hauptmann Informedia Digital Library Internet search engines Image search Information science		Extreme Video Retrieval Maximizing the Synergy between Systems and Humans TRECVID meeting – November 15, 2005 The Informedia Team Carnegie Mellon University Add to Reading List Source URL: www-nlpir.nist.gov Download Document from Source Website File Size: 721,01 KB Share Document on Facebook

	Content-based Image Retrieval Using Rotation-invariant Histograms of Oriented Gradients Jinhui Chen1 , Toru Nakashika1 , Tetsuya Takiguchi2 , Yasuo Ariki2 1 2 DocID: 1uKpw - View Document
	Publications Internes de l’IRISA ISSN : en cours PI 1927 – Avril 2009 A review of weighting schemes for bag of visual words image retrieval Pierre Tirilly* , Vincent Claveau , Patrick Gros* DocID: 1udDG - View Document
	Content-Based Image Retrieval in Digital Libraries DocID: 1udCS - View Document
	Digital Library Curriculum Development Module (7-a) Image Retrieval (Draft Last Modified: Module Name Image Retrieval DocID: 1u3Ez - View Document
	Noname manuscript No. (will be inserted by the editor) Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach DocID: 1tR2S - View Document