Image Classification for Web Genre Identification

Abstract

With the countless number of existing websites alongside the virtually unrestricted growth of the World Wide Web, the Web has no boundaries. As a result, there is an increasing need to automatically categorize and classify web sites into genres in order to improve the personalization of search results. This paper will offer conceptual suggestions on how online images can be used to predict the genre of the website that they are found on, as well as the process for detecting and identifying certain specific images for genre categorization.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2012
Accession Number
ADA599790

Entities

People

  • Alex Wu
  • Myriam Abramson

Organizations

  • United States Naval Research Laboratory

Tags

DTIC Thesaurus Topics

  • Applied Computer Science
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Classification
  • Computational Processes
  • Computer Science
  • Computer Vision
  • Computing-Related Activities
  • Detection
  • Facial Recognition
  • Identification
  • Image Classification
  • Images
  • Machine Learning
  • Military Research
  • Recognition
  • Test Sets

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Economics
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation
  • AI & ML - Neural Networks