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.

Jan 30, 2019 · The first method in this chapter presented a fast content-based image classification algorithm implemented in a relational database management system using the bag of features approach, Support Vector Machine classifiers and special Microsoft SQL Server features.

In this codelab, we will discuss the use case of storing and analyzing images of Yoga Poses in BigQuery and implementing a classification model with BigQuery ML to label the poses using only...

Oct 6, 2022 · In this introductory note, I’ll be using our friendly iris dataset to walk you through different components of PostgresML while building a simple multi-classification model. This way, we’ll...

Apr 6, 2015 · In this paper, we propose a new approach to develop the structure of a large-scale image automatically. It is an integrated approach from existing technologies for the new application where the...

age classification built in a Microsoft SQL Server database, We created a special database indexing algorithm, which will significantly speed up answering to visual query-by-example SQL queries in relational databases. The paper is organized as follows. Section II describes the proposed database system. Section III provides simulation

Jun 26, 2015 · 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. Bibliographic Explorer ( What is the Explorer?)

May 29, 2016 · In this paper we present a system intended for content-based image retrieval tightly integrated with a relational database management system. Users can send query images over the appropriate web service channel or construct database queries locally.

Mar 19, 2020 · Gain an understanding of image classification with this walkthrough including the benefits from a TensorFlow + MariaDB integration.

May 14, 2024 · In this blog post, we demonstrated how to implement an image classification system in your [Database] for example using MongoDB, and SuperDuperDB. By leveraging the strengths of SuperDuperDB, we can build a scalable and efficient pipeline for image classification, integrated directly with your database of choice.