Scaling and cropping are very common in today’s image processing software. When an image is printed-and-scanned, the final image is generally a cropped version of the rotated, scaled original image, with additional noises. The cropped image usually does not have the same aspect ratio as the original, so the DFT coefficients of the cropped image and the original would be quite different. In this...

Distance metric learning has been widely investigated in machine learning and information retrieval. In this paper, we study a particular content-based image retrieval application of learning distance metrics from historical relevance feedback log data, which leads to a novel scenario called collaborative image retrieval. The log data provide the side information expressed as relevance judgemen...

Content-based Image Retrieval (CBIR) using relevance feedback technique is applied to improve the results of traditional techniques in image retrieval. Since the results returned by system cannot fully satisfy users and the iteration process of feedback can be very time-consuming and tedious, log-based relevance feedback is introduce to the system. In previous work, we have already introduced m...

The derivation of shallow-water bathymetry from multispectral satellite images has become a highly active field of research in recent years. Nowadays, as satellite images become more and more freely available worldwide and easily accessible, this type of technique is a cost-effective surrogate for the derivation of bathymetric information, about even the most remote areas. In fact, traditional ...

The study of ionospheric scintillation belongs to the class of problems dealing with wave diffraction and propagation through a random medium, and its complete theoretical solution is presently not available. Approximate solutions or models, such as the 'thin phase diffraction screen model' and the 'Rytov solution for weak scintillation', have been proposed and do apply under restrictive condit...

In this paper, we present FlickLing, a multilingual search interface for Flickr designed and implemented for the CLEF 2008 interactive task. FlickLing consists of two interfaces which allow to perform monolingual and multilingual image retrieval over the Flickr database, retrieving results with images annotated in different languages. From a given query entered by the user, FlickLing performs a...

It is well recognized that image representation is the most fundamental task of the face recognition, effective and efficient image feature extraction not only has small intraclass variations and large interclass similarity but also robust to the impact of pose, illumination, expression and occlusion. This paper proposes a new local image descriptor for face recognition, named Log–Gabor Weber d...