image quality is known to be multivalued with some visual attributes or "nesses." One example of a "ness" is colorfulness. Published research has shown that the image quality versus colorfulness fu...
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image quality is known to be multivalued with some visual attributes or "nesses." One example of a "ness" is colorfulness. Published research has shown that the image quality versus colorfulness function reaches a maximum and increasing colorfulness beyond the optimum level actually degrades image quality. The present formulations of image quality models - e.g. Minkowski metrics and the Generalized Weighted Mean Hypothesis - implicitly assume that a monotonic relationship exists between image quality and the values of the independent "nesses." This paper proposes an extension to these popular image quality model formulations to represent the non-monotonic case. The new image quality model extension is compared to results of image quality versus colorfulness scaling of printed images.
In this paper, a new effective 3D object remote-tracking system using the disparity information is suggested, in which not only the target object can be tracked in real-time, but also the target object is displayed in...
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ISBN:
(纸本)0819444863
In this paper, a new effective 3D object remote-tracking system using the disparity information is suggested, in which not only the target object can be tracked in real-time, but also the target object is displayed in 3D at the receiver by only using the disparity information taken from the stereo object images. By using the disparity information of stereo image sequences, the target object can be detected and its location coordinates are extracted and then, using these coordinate values the stereo object tracking is accomplished by controlling the stereo camera that is mounted on a pan/tilt. And, the disparity information is sent to the receiver together with the reference image for effective 3D reconstruction of the target image under tracking. Some experimental results show the proposed system has much less transmitting data and shorter processing time for real-time 3D target tracking through the comparison to those of the conventional algorithms.
The volume of image data generated in ground-penetrating radar surveys can severely restrict the practicality of this site investigation technique. This is particularly true in situations where automatic analysis or i...
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ISBN:
(纸本)0819445223
The volume of image data generated in ground-penetrating radar surveys can severely restrict the practicality of this site investigation technique. This is particularly true in situations where automatic analysis or interpretation is required, as segmentation and classification tasks that utilise multivariate data are critically affected by the volume and dimensionality of the data. A general-purpose unsupervised image segmentation system is presented here for the automatic detection of image regions exhibiting different visual texture properties. A suboptimal feature selection procedure is proposed to automatically select the set of texture features best suited for the particular application. The reduction in the size of the feature set both reduces the computation time and improves the accuracy of the final classification.
An image coding scheme which combines transform coding with a human visual system (HVS) model has been developed. The system include an eye tracker to pick up the point of regard of a single viewer. One can then utili...
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ISBN:
(纸本)3540002626
An image coding scheme which combines transform coding with a human visual system (HVS) model has been developed. The system include an eye tracker to pick up the point of regard of a single viewer. One can then utilize that the acuity of the HVS is lower in the peripheral vision than in the central part of the visual field. A model of the decreasing acuity of the HVS which can be applied to a wide class of transform coders is described. Such a coding system has a large potential for data compression. In this paper we have incorporated the model into an image coder based on the discrete wavelet packet transform (DWPT) scheme.
A new simple scheme is proposed to synthesize visual textures with positional jitter and/or orientation randomness that find extensive use in controlled psychophysical experiments for modelling (human) preattentive vi...
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ISBN:
(纸本)9810474806
A new simple scheme is proposed to synthesize visual textures with positional jitter and/or orientation randomness that find extensive use in controlled psychophysical experiments for modelling (human) preattentive vision. Spectral properties of synthesized textures are then analyzed with the goal of creating a framework for computing signal-to-noise ratio from the spectra that offers the potential to interpret quantitatively certain perceptual phenomena, such as perceptual asymmetry.
The work introduces a complete chain of video object compression. The process is based on an automatic extraction of video objects from raw video. The recent MPEG-4 standard philosophy, including mesh models and wavel...
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The work introduces a complete chain of video object compression. The process is based on an automatic extraction of video objects from raw video. The recent MPEG-4 standard philosophy, including mesh models and wavelet-based compression are involved in the scheme. Constrained Delaunay meshes are used to represent articulated video objects in a flexible manner conveying shape and motion information. The wavelet transform is applied to residual errors for scalable and efficient compression. Results on MPEG4 test sequences for very low bitrate video communications are encouraging.
We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian classification. In this paper, we pre...
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We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian classification. In this paper, we present analysis and improved results on two key issues: feature selection and performance evaluation, using a ten-hour database (30 video clips, 1,075,000 frames). From multiple features and similarity measures, visual features are selected in order to minimize the empirical probability of misclassification. Temporal features are chosen to reflect the patterns existing in both shot and cluster duration and adjacency. Finally, we describe a detailed performance evaluation procedure that includes cluster detection, individual shot-cluster labeling, and prior selection.
This paper presents a system for forest fire monitoring using aerial images. The system uses the images taken from a helicopter, the GPS position of the helicopter, and information from a Geographic Information System...
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ISBN:
(纸本)0819444634
This paper presents a system for forest fire monitoring using aerial images. The system uses the images taken from a helicopter, the GPS position of the helicopter, and information from a Geographic Information System (GIS) to locate the fire and to estimate in real-time their properties. Currently, the images are taken by a non-stabilized camera. Then, imageprocessing for image stabilization and movement estimation is applied to cancel the vibration and to estimate the change in the camera orientation. Another imageprocessing stage is the computation of the fire front and flame height features in the images. This process is based on color processing and thresholding, followed by contour computation. Finally, the fire front is automatically geo-located by projecting the features over the terrain model obtained from the GIS. Furthermore, an estimation of the flame height is obtained. The aerial imageprocessing, automatic georeferencing and measurement has been integrated in a forest fire fire monitoring system in which several moving or fixed visual and infrared cameras can be used. The system provides in real-time the evolution of the fire-front and the flame height, and obtains a 3D perception model of the fire. Moreover, the fire evolution can be also included and represented in the ARC-INFO GIS. The paper shows some results obtained with the application with images taken in real forest-fire experiments, carried out in Gestosa (Portugal) on June 2000 in the framework of the INFLAME project funded by the European Commission.
Digital watermarking is a new technique for digital multimedia copyright protection. The robustness and the imperceptibility are the basic requirements of the digital watermark. The key factor that affects both the ro...
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Objective quality measures or measures of comparison are of great importance in the field of imageprocessing. These measures can be useful for the evaluation and comparison of different algorithms, designed to solve ...
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