Chapter 21: Content-Based Retrieval in Digital Libraries

Deep convolutional learning for Content Based Image Retrieval

In this paper we propose a model retraining method for learning more efficient convolutional representations for Content Based Image Retrieval ...

C-BIRD: content-based image retrieval from digital libraries using illumination invariance and recognition kernel

With huge amounts of multimedia information connected to the global information network (Internet), efficient and effective image retrieval from large image and video repositories has become an imminent research issue ...

A Demo Version of VisualSEEk

The VisualSEEk system is novel in that the user forms the queries by diagramming spatial arrangements of color regions ...

Searchable Datasets in Python: Images across Domains, Experiments, Algorithms, and Learning

An article that explains a python tool for content-based image retrieval.

A CBIR system: Photobook

Photobook is a tool for performing queries on image databases based on image content.

CBIR Demo

VIPER has a CBIR demo web site here.

Collection of Material Related to Content-Based Image Retrieval (CBIR)

A very useful description of issues and challenges in CBIR.

Standard Image and Video Collections

The National Institute of Standards and Technology has created what it proposes as a standard set of test videos for testing video segmentation and retrieval programs.

Video Keyframe Production by Efficient Clustering of Compressed Chromaticity Signatures

The keyframe generation method discussed in this chapter, and the videos used, are given at the website.