The elements of the concrete structure are most frequently affected by cracking. Crack detection is essential to ensure safety and performance during its service life. Cracks do not have a regular shape, in order to achieve the exact dimensions of the crack; the general mathematical formulae are by no means applicable. The authors have proposed a new method which aims to measure the crack dimen...

Manual fingerprint classification algorithms are very time consuming, and usually not accurate. Fast and accurate fingerprint classification is essential to each AFIS (Automatic Fingerprint Identification System). This paper investigates a fingerprint classification algorithm that reduces the complexity and costs associated with the fingerprint identification procedure. A new structural algorit...

We are interested in automatically calculating music similarity based on the visual appearance of artists. By collecting a large set of promotional photographs featuring artists and using a state-of-the-art image annotation system, we show that we can successfully annotate artists with a large set of (genre) tags. This suggests that we can learn some notion of artist similarity based on visual ...

This research proposal discusses pragmatic factors in image description, arguing that current automatic image description systems do not take these factors into account. I present a general model of the human image description process, and propose to study this process using corpus analysis, experiments, and computational modeling. This will lead to a better characterization of human image desc...

We introduce a novel example-based framework for reusing traditional cartoon drawings and animations. In contrast to previous approaches our aim is to design new characters and poses by combining fragments of the original artwork. Using standard image manipulation tool this task is tedious and time consuming. To reduce the amount of manual intervention we combine unsupervised image segmentation...

In this paper we tackle the problem of automatic caption generation for news images. Our approach leverages the vast resource of pictures available on the web and the fact that many of them are captioned. Inspired by recent work in summarization, we propose extractive and abstractive caption generation models. They both operate over the output of a probabilistic image annotation model that prep...

Detailed image annotation necessary for reliable image retrieval involves not only annotating the image as a single artifact, but also annotating specific objects or regions within the image. Such detailed annotation is a costly endeavor and the available annotated image data are quite limited. This paper explores the feasibility of using image captions from scientific journals for the purpose ...

In this paper, we report our work on automatic image annotation by combining several textual features drawn from the text surrounding the image. Evaluation of our system is performed on a dataset of images and texts collected from the web. We report our findings through comparative evaluation with two gold standard collections of manual annotations on the same dataset.

Article history: Received 24 December 2007 Received in revised form 10 April 2008