Antoni Gasull

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This paper presents a contour-based approach to e$ciently code binary shape information in the context of object-based video coding. This approach meets some of the most important requirements identi"ed for the MPEG-4 standard, notably e$cient coding and low delay. The proposed methods support both object-based lossless and quasi-lossless coding modes. For(More)
Nowadays superimposed text in both images and video sequences provides useful information about their contents. The aim of this paper is to introduce a method, which allows us to extract this kind of information, focused on working as independently as possible from the content, quality or font. Some pre-processing tools can be applied in order to reduce the(More)
In this paper, a lossy partition coding technique is presented which leads to decoded partitions with unnoticeable losses. It uses an hexagonal grid for contour representation and it is based on the concept of Multi-Grid Chain Code. This coding technique can be used in intra-frame mode or, in combination with partition prediction techniques, in inter-frame(More)
This paper presents a technique for detecting caption text for indexing purposes. This technique is to be included in a generic indexing system dealing with other semantic concepts. The various object detection algorithms are required to share a common image description which, in our case, is a hierarchical region-based image model. Caption text objects are(More)
A new method for marine oil spills detection is presented in this paper. It is shown that morphological images analysis techniques are powerful tools to extract accurately dark spots in SAR images, which are candidates to be oil spills. The main goal is that this segmentation can be carried out with no prior knowledge about ocean conditions during the image(More)
The objective of this paper is to introduce a fourth-order cost function of the displaced frame difference (DFD) capable of estimating motion even for small regions or blocks. Using higher than second-order statistics is appropriate in case the image sequence is severely corrupted by additive Gaussian noise. Some results are presented and compared to those(More)
We propose the use of higher order statistics (HOS)-based methods to address the problem of image restoration. The restoration strategy is based on the fact that the phase information of the original image and its HOS are not distorted by some types of blurring. The difficulties associated with the combination of 2-D signals and their HOS are reduced by(More)