Bag-of-Features Image Indexing and Classification in Microsoft SQL Server Relational Database

2015-06-26 · Marcin Korytkowski, Rafal Scherer, Pawel Staszewski, Piotr Woldan

This paper presents a novel relational database architecture aimed to visual objects classification and retrieval. The framework is based on the bag-of-features image representation model combined with the Support Vector Machine classification and is integrated in a Microsoft SQL Server database.

📄 PDF Abstract BibTeX arXiv:1506.07950

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Classification General Classification Retrieval

Microsoft COCO Captions: Data Collection and Evaluation Server

2015-04-01 · Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam 외

In this paper we describe the Microsoft COCO Caption dataset and evaluation server. When completed, the dataset will contain over one and a half million captions describing over 330,000 images. For the training and valid…

Caption Generation

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2020-10-08 · L. Chauvin, M. Ben Lazreg, J. B. Carluer, W. Wells 외

We propose a unified appearance model accounting for traditional shallow (i.e. 3D SIFT keypoints) and deep (i.e. CNN output layers) image feature representations, encoding respectively specific, localized neuroanatomical…

Domain Adaptation General Classification GPU

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This tutorial will introduce the Computational Network Toolkit, or CNTK, Microsoft's cutting-edge open-source deep-learning toolkit for Windows and Linux. CNTK is a powerful computation-graph based deep-learning toolkit …

Clustering Deep Learning Dimensionality Reduction General Classification+2

Two-person interaction detection using body-pose features and multiple instance learning

2012-07-16 · International Workshop on Human Activity Understanding from 3D Data at Conference on Computer Vision and Pattern Recognition (HAU3D-CVPRW) 2012 7 · Kiwon Yun, Jean Honorio, Debaleena Chattopadhyay, Tamara L. Berg 외

Human activity recognition has potential to impact a wide range of applications from surveillance to human computer interfaces to content based video retrieval. Recently, the rapid development of inexpensive depth sensor…

Activity Recognition Human Activity Recognition Multiple Instance Learning Retrieval+1

A Fingerprint Indexing Method Based on Minutia Descriptor and Clustering

2018-11-21 · Gwang-Il Ri, Chol-Gyun Ri, Su-Rim Ji

In this paper we propose a novel fingerprint indexing approach for speeding up in the fingerprint recognition system. What kind of features are used for indexing and how to employ the extracted features for searching are…

Clustering