The Rapid Telescopes for Optical Response (RAPTOR) experiment is a spatially distributed system of autonomous robotic telescopes that is designed to monitor the sky for optical transients. The core of the system is co...
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ISBN:
(纸本)0819446246
The Rapid Telescopes for Optical Response (RAPTOR) experiment is a spatially distributed system of autonomous robotic telescopes that is designed to monitor the sky for optical transients. The core of the system is composed of two telescope arrays, separated by 38 kilometers, that stereoscopically view the same 1500 square-degree field with a wide-field imaging array and a central 4 square-degree field with a more sensitive narrow-field "fovea" imager. Coupled to each telescope array is a real-time data analysis pipeline that is designed to identify interesting transients on timescales of seconds and, when a celestial transient is identified, to command the rapidly slewing robotic mounts to point the narrow-field "fovea" imagers at the transient. The two narrow-field telescopes then image the transient with higher spatial resolution and at a faster cadence to gather light curve information. Each "fovea" camera also images the transient through a different filter to provide color information. This stereoscopic monitoring array is supplemented by a rapidly slewing telescope with a low resolution spectrograph for follow-up observations of transients and a sky patrol telescope that nightly monitors about 10,000 square-degrees for variations, with timescales of a day or longer, to a depth about 100 times fainter. In addition to searching for fast transients, we will use the data stream from RAPTOR as a real-time sentinel for recognizing important variations in known sources. All of the data will be publically released through a virtual observatory called SkyDOT (Sky Database for Objects in the Time Domain) that we are developing for studying variability of the optical sky. Altogether, the RAPTOR project aims to construct a new type of system for discovery in optical astronomy-one that explores the time domain by "mining the sky in real time".
In this paper, we propose an automatic method for the objective evaluation of segmentation results. The method is based on computing the deviation of the segmentation results from a reference segmentation. The discrep...
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In this paper, we propose an automatic method for the objective evaluation of segmentation results. The method is based on computing the deviation of the segmentation results from a reference segmentation. The discrepancy between two results is weighted based on spatial and temporal contextual information, by taking into account the way humans perceive visual information. The metric is useful for applications where the final judge of the quality is a human observer or the results of segmentation are otherwise processed in a human-like fashion. The proposed evaluation has been applied both to automatically provide a ranking among different segmentation algorithms and to optimally set the parameters of a given algorithm.
This paper studies a progressive image transmission technique over waveform channels. The channel optimized vector quantization codec (COVQ) (Farvardin and Vaishampayan 1991) is applied to the image wavelet coefficien...
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This paper studies a progressive image transmission technique over waveform channels. The channel optimized vector quantization codec (COVQ) (Farvardin and Vaishampayan 1991) is applied to the image wavelet coefficients creating a robust progressive image transmission technique that mitigates the effects of a noisy channel on the reconstructed image. In order to evaluate the performance of our proposal, a Gaussian and slow-fading Rayleigh channel model, with several different values of channel signal to noise ratio (CSNR) were simulated in our experiments. Examples show a significant visual improvement of our application compared to other progressive image transmission techniques.
In this paper a new watermarking algorithm for digital images operating in the frequency domain is presented: a sequence of pseudo-random real numbers is embedded in a selected set of DCT coefficients. After embedding...
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In this paper a new watermarking algorithm for digital images operating in the frequency domain is presented: a sequence of pseudo-random real numbers is embedded in a selected set of DCT coefficients. After embedding, the watermark is adapted to the image to be signed by exploiting the masking characteristics of the Human visual System (HVS) in order to achieve watermark invisibility without diminishing its robustness. Experimental results demonstrate that the watermark is robust to several signal processing techniques and geometric distortions.
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 MPEG-4 test sequences for very low bitrate video communications are encouraging.
An analytical method of calculating the recognition characteristics of a correlated normally distributed signal against correlated normally distributed background was developed. It is based on the representation of mu...
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An analytical method of calculating the recognition characteristics of a correlated normally distributed signal against correlated normally distributed background was developed. It is based on the representation of multidimensional probability density of a set of processing channels output signal by multidimensional series of Pollaczek (1950) polynomials. This approach allows one to obtain sufficient accuracy of approximation of probability density and analytical expression for M-dimensional integrals from probability density of recognition system output signals. The advantage of this method is that it allows one to estimate recognition quality when using multidimensional portraits taking into account interchannel correlation and the difference between the distribution law of a processing channels output signal and the normal one. The result given in the article have a relatively simple form and may be used to carry out scientific engineering designs.
We exploit the retrieval of visual information from biomedical scientific publication databases. Therefore, we consider the use of domain specific genres to automatically subdivide large image databases into smaller, ...
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In the future, digital set-top boxes may serve as the primary access point for wireless home networks, enabling mobile users to use videoconferencing as well as streaming applications on hand-held devices. In this sce...
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In the future, digital set-top boxes may serve as the primary access point for wireless home networks, enabling mobile users to use videoconferencing as well as streaming applications on hand-held devices. In this scenario, an important issue that must be addressed is the limited energy supply of a mobile device. This is of course a relevant issue for any wireless device. We focus on methods for efficiently utilizing transmission energy in wireless video communications. We present a general framework for the problem of minimizing the transmission energy required to provide an acceptable level of video quality. We discuss two special cases in which communication resources are adjusted simultaneously with the source coding parameters in order to provide (i) packet loss adaptation and (ii) transmission rate adaptation.
This paper deals with the near field source localization problem using the array output second order statistics (SOS). The range and angle parameters are estimated through a weighted linear prediction (LP) algorithm a...
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This paper deals with the near field source localization problem using the array output second order statistics (SOS). The range and angle parameters are estimated through a weighted linear prediction (LP) algorithm applied to a properly chosen array output correlation sequence. Detailed performance analysis and derivation of the optimal weightings are provided. Simulation results are finally presented to validate the theoretical analysis results and to assess the performance of the proposed method.
In this paper we study an optimal transmission mechanism along with a memory caching strategy in a server-client architecture for large JPEG2000 (J2K) images browsing. The system takes advantage on the scalability int...
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In this paper we study an optimal transmission mechanism along with a memory caching strategy in a server-client architecture for large JPEG2000 (J2K) images browsing. The system takes advantage on the scalability introduced by J2K codestreams. The idea is that users accessing the server could navigate in a seamless way in one or several images. They could change the displaying requirements, ask for a desired resolution, quality or region of interest (ROI) with no need to receive the whole codestream. We propose a smart data streaming strategy to minimize the latency time and support interactive browsing. Our strategy takes into account several constraints as delays, memory, bandwidth, etc., for permitting fast adaptation to image browsing with optimal employment of resources.
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