In content based image retrieval, systems allow users to ask for objects similar in shape to a query object. However, there is no clear understanding of how computational shape similarity corresponds to human shape similarity. In this paper several shape similarity measures were evaluated on planar, connected, non-occluded binary shapes. Shape similarity using algebraic moments, spline curve di...

Contour shape descriptors are among the important shape description methods. Fourier descriptors (FD) and curvature scale space descriptors (CSSD) are widely used as contour shape descriptors for image retrieval in the literature. In MPEG-7, CSSD has been proposed as one of the contour-based shape descriptors. However, no comprehensive comparison has been made between these two shape descriptor...

We present an approach for robust shape retrieval from databases containing articulated 3D shapes. We represent each shape by the eigenvectors of an appropriately defined affinity matrix, obtaining a spectral embedding. Retrieval is then performed on these embeddings using global shape descriptors. Transformation into the spectral domain normalizes the shapes against articulation (bending), rig...

Most approaches for lip modelling are based on heuristic constraints imposed by the user. We describe the use of Active Shape Models for extracting visual speech features for use by automatic speechreading systems, where the deformation of the lip model as well as image search is based on a priori knowledge learned from a training set. We demonstrate the robustness and accuracy of the technique...

More and more images have been generated in digital form around the world. There is a growing interest in 1nding images in large collections or from remote databases. In order to 1nd an image, the image has to be described or represented by certain features. Shape is an important visual feature of an image. Searching for images using shape features has attracted much attention. There are many s...

The color feature could be well represented in a feature and shape is a distinguishable feature which can make coarse discriminations quickly. Based on those reasons, we present an efficient image retrieval system to consider simultaneously accuracy and performance by combining color moment with shape contexts in this paper. The shape rotation has significant influence on the similarity measure...

In the field of 3D model retrieval, the combination of different kinds of shape feature is a promising way to improve retrieval performance. And the efficient categorization of 3D models is critical for organizing models. The paper proposes a combination method, which automatically decides the fixed weight of different shape features. Based on the combined shape feature, the paper applies the c...

Efficient and robust information retrieval from large image databases is an essential functionality for the reuse, manipulation, and editing of multimedia documents. Structural feature indexing is a potential approach to efficient shape retrieval from large databases, but it is sensitive to noise, scales of observation, and local shape deformations. To improve the robustness, shape feature gene...

For a given visual feature, due to the diversity of human's subjective judgment, a visual information retrieval system that supports a single pre xed similarity measure will result in poor retrieval performance. To address this problem, this paper proposes the concept of similarity matching toolkit which consists of different similarity measures simulating human's perceptions of the given featu...

Shape is one of the main features in content based image retrieval (CBIR). This paper proposes a new shape signature. In this technique, features of each shape are extracted based on four sides of the rectangle that covers the shape. The proposed technique is Fourier based and it is invariant to translation, scaling and rotation. The retrieval performance between some commonly used Fourier base...