Multimedia content analysis is applied in different real‐world computer vision applications,
and digital images constitute a major part of multimedia data. In last few years, the …

The complexity of multimedia contents is significantly increasing in the current digital world.
This yields an exigent demand for develo** highly effective retrieval systems to satisfy …

Benchmark datasets are critical for develo**, evaluating, and comparing remote sensing
image retrieval (RSIR) approaches. However, current benchmark datasets are deficient in …

Humans can prepare concise descriptions of pictures, focusing on what they find important.
We demonstrate that automatic methods can do so too. We describe a system that can …

In this paper we propose a model retraining method for learning more efficient convolutional
representations for Content Based Image Retrieval. We employ a deep CNN model to obtain …

2011-10-17 Assigned to DIGIMARC CORPORATION reassignment DIGIMARC
CORPORATION ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR …

We introduce the use of describable visual attributes for face verification and image search.
Describable visual attributes are labels that can be given to an image to describe its …

2009-09-02 Assigned to DIGIMARC CORPORATION reassignment DIGIMARC
CORPORATION ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR …

Automated annotation of digital pictures has been a highly challenging problem for
computer scientists since the invention of computers. The capability of annotating pictures by …

An experimental comparison of a large number of different image descriptors for content-
based image retrieval is presented. Many of the papers describing new techniques and …