Интернет магазин китайских планшетных компьютеров

Компьютеры - Поиск изображений по содержанию - Применение

Cуществуют компании, представляющие программные продукты, в которых алгоритмы поиска изображений по содержанию применяются для фильтрации содержимого веб-страниц и государственного мониторинга сетевого трафика с целью отслеживания изображений порнографического содержания.
Примеры:

• Обратный поиск изображений TinEye.com
• Поиск людей по фотографиям PhotoDate.ru

См. также

• Query by Image and Video Content: The QBIC System,

• Finding Naked People

• Virage Video Engine,

• Library-based Coding: a Representation for Efficient Video Compression and Retrieval,

• System for Screening Objectionable Images

• Content-based Image Retrieval

• A Probabilistic Architecture for Content-based Image Retrieval,

• A Unifying View of Image Similarity,

• Next Generation Web Searches for Visual Content,

• Image Indexing with Mixture Hierarchies,

• SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture Libraries

• FACERET: An Interactive Face Retrieval System Based on Self-Organizing Maps

• Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach

• Video google: A text retrieval approach to object matching in videos

• Minimum Probability of Error Image Retrieval

• On the Efficient Evaluation of Probabilistic Similarity Functions for Image Retrieval

• Extending image retrieval systems with a thesaurus for shapes

• Names and Faces in the News

• Cortina: a system for large-scale, content-based web image retrieval

• A new perspective on Visual Information Retrieval

• Language-based Querying of Image Collections on the basis of an Extensible Ontology

• Costume: A New Feature for Automatic Video Content Indexing

• Automatic Face Recognition for Film Character Retrieval in Feature-Length Films

• Algorithm on which Retrievr and imgSeek is based on

• Image Retrieval: Ideas, Influences, and Trends of the New Age

• Evaluating Use of Interfaces for Visual Query Specification.

• From Pixels to Semantic Spaces: Advances in Content-Based Image Retrieval

• Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees

• Real-Time Computerized Annotation of Pictures

• Bird, C.L.; P.J. Elliott, Griffiths. «User interfaces for content-based image retrieval».

• Rui, Yong; Thomas S. Huang, Shih-Fu Chang. «Image Retrieval: Current Techniques, Promising Directions, and Open Issues».

• Datta, Ritendra; Dhiraj Joshi, Jia Li, James Z. Wang. «Image Retrieval: Ideas, Influences, and Trends of the New Age». ACM Computing Surveys 40: 1–60. DOI:10.1145/1348246.1348248.

• Tushabe, F.; M.H.F. Wilkinson. «Content-based Image Retrieval Using Combined 2D Attribute Pattern Spectra». Springer Lecture Notes in Computer Science.