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A search runtime analysis of LIRE on 500k images

Article from http://www.semanticmetadata.net/ Run time for search in LIRE heavily depends on the method used for indexing and search. There are two main ways to store data and two search strategies for linear search and there is approximate indexing of… → Read More: A search runtime analysis of LIRE on 500k images

What, Where and How? Introducing pose manifolds for industrial object manipulation

In this paper we propose a novel method for object grasping that aims to unify robot vision techniques for efficiently accomplishing the demanding task of autonomous object manipulation. Through ontological concepts, we establish three mutually complem… → Read More: What, Where and How? Introducing pose manifolds for industrial object manipulation

What, Where and How? Introducing pose manifolds for industrial object manipulation

In this paper we propose a novel method for object grasping that aims to unify robot vision techniques for efficiently accomplishing the demanding task of autonomous object manipulation. Through ontological concepts, we establish three mutually complem… → Read More: What, Where and How? Introducing pose manifolds for industrial object manipulation

SIMPLE Descriptors

SIMPLE [Searching Images with Mpeg-7 (& Mpeg-7 like) Powered Localized dEscriptors] begun as a collection of four descriptors [Simple-SCD, Simple-CLD, Simple-EHD and Simple-CEDD (or LoCATe)]. The main idea behind SIMPLE is to utilize global descrip… → Read More: SIMPLE Descriptors

SIMPLE Descriptors

SIMPLE [Searching Images with Mpeg-7 (& Mpeg-7 like) Powered Localized dEscriptors] begun as a collection of four descriptors [Simple-SCD, Simple-CLD, Simple-EHD and Simple-CEDD (or LoCATe)]. The main idea behind SIMPLE is to utilize global descrip… → Read More: SIMPLE Descriptors

HOW TO BUILD MACHINE LEARNING WITH GOOGLE PREDICTION API

While not widely understood, machine learning has been easily accessible since Google Prediction API was released in 2011. With many applications in a wide variety of fields, this tutorial by Alex Casalboni on the Cloud Academy blog is a useful place t… → Read More: HOW TO BUILD MACHINE LEARNING WITH GOOGLE PREDICTION API

HOW TO BUILD MACHINE LEARNING WITH GOOGLE PREDICTION API

While not widely understood, machine learning has been easily accessible since Google Prediction API was released in 2011. With many applications in a wide variety of fields, this tutorial by Alex Casalboni on the Cloud Academy blog is a useful place t… → Read More: HOW TO BUILD MACHINE LEARNING WITH GOOGLE PREDICTION API

HOW TO BUILD MACHINE LEARNING WITH GOOGLE PREDICTION API

While not widely understood, machine learning has been easily accessible since Google Prediction API was released in 2011. With many applications in a wide variety of fields, this tutorial by Alex Casalboni on the Cloud Academy blog is a useful place t… → Read More: HOW TO BUILD MACHINE LEARNING WITH GOOGLE PREDICTION API

DocEng 2015

FXPAL had two publications at DocEng 2015. The conference was in Lausanne, Switzerland. “High-Quality Capture of Documents on a Cluttered Tabletop with a 4K Video Camera” “Searching Live Meetings: “Show me the Action” Some observations from FXPAL colleagues Jean Paoli, co-author of XML, opened the DocEng 2015 conference by taking us back to the early days […] → Read More: DocEng 2015

Morph an image to resemble a painting in the style of the great masters

A group of researchers at the University of Tubingen, Germany, have developed an algorithm that can morph an image to resemble a painting in the style of the great masters. Technically called “deep learning” algorithms, they are already in use by c… → Read More: Morph an image to resemble a painting in the style of the great masters