In this paper, we propose a simple yet effective adaptive bilateral filter considering local characteristics. the presented method exploits the local gaussian gradient information of the processingimage and applies b...
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the aim of semantic segmentation is to assign each pixel a semantic label. Numerous methods for semantic segmentation have been proposed in recent years and most of them chose pixel or superpixel as the processing pri...
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Lately, the use of GPUs is dominant in the field of high performance computing systems for computergraphics. However, since there is "not good for everything" solution, GPUs have also some drawbacks that ma...
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image forgery technology has become popular for tempering with digital photos. In this work, we propose a new technique for detecting the photographic composites using two or more equal and coplanar circles. In partic...
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Small sample space target recognition is a difficult problem in applications because the limited training samples cannot lead to satisfactory recognition accuracy. Combined with novel compression perception theory, we...
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In this paper, we propose a multilevel parallel intra coding for H.264/AVC based on computed unified device architecture (CUDA). the proposed parallel algorithm improves the parallelism between 4x4 blocks within a mac...
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In this paper, we present a new method to improve the performance of current bag-of-word based image classification process. After feature extraction, we introduce a pairwise image matching scheme to select the discri...
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Classification of web pages is usually done by extracting the textual content of the page and/or by extracting structural features from the HTML. In this work, we present a different approach, where we use the visual ...
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ISBN:
(纸本)9783642228094
Classification of web pages is usually done by extracting the textual content of the page and/or by extracting structural features from the HTML. In this work, we present a different approach, where we use the visual appearance of web pages for their classification. We extract generic, low-level visual features directly from the page as it is rendered by a web browser. the visual features used in this document are simple color and edge histograms, Gabor and texture features. these were extracted using an off-the-shelf visual feature extraction method. In three experiments, we classify web pages based on their aesthetic value, their recency and the type of website. Results show that these simple, global visual features already produce good classification results. We also introduce an online tool that uses the trained classifiers to assess new web pages.
image understanding technology has broad application. Especially on Today's LCD display panel and LED lighting device production, it can be applied to test and evaluate the quality of the display panel and lightin...
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ISBN:
(纸本)9781457713880
image understanding technology has broad application. Especially on Today's LCD display panel and LED lighting device production, it can be applied to test and evaluate the quality of the display panel and lighting products. For the industrial applications such as bin picking, assembly and inspection, image understanding technology can be used to support those applications at real-time rates. Another area of applicability is that of automatic interpretation of aerial or satellite imagery for use in GPS or computer aided cartography. IC design for machine vision and image understanding is one of the most computationally intensive domains of artificial intelligence research. It requires that an interpretation of the changing scene be updated with every new video frame, once every thirtieth of a second. Withthree quarters of a million color-intensity data values which comprise the picture elements or pixels of the image, performing a single operation on each of these pixels requires an execution rate of about twenty-three million instructions per second for just to keep up withthe input. Of course far more than one operation per pixel is necessary. the image understanding is not limited to the data processing in the visible spectrum;it should have more applicable to computer aided systems for image signal processing such as avionics flight control, synthetic array radar and sonar systems etc... the bandwidth requirement of these systems is even higher. In order to achieve these enormous bandwidths a 3-D IC parallel processing design architecture and its algorithm will be discussed. Withthe advancement of the high density packaging and the level of 3D IC integration technologies available today, it maybe the best approach to achieve these bandwidths by implementing the SIMD (Single Instruction Multiple Data) and the BSWP (Bit Serial Word Parallel) processing technologies into the 3D IC circuitry. the SIMD and the BSWP will be discussed and analyzed as approaches to a
computervision is a growing field of computer science that intends to extract some useful information from images, usually taken from cameras or scanners. the ability to recognize shapes in images is often necessary ...
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computervision is a growing field of computer science that intends to extract some useful information from images, usually taken from cameras or scanners. the ability to recognize shapes in images is often necessary in computervision programs. this article describes how to make a program able to recognize basic geometrical figures by using machine learning. this article shows the imageprocessing stages until feature extraction; Giving to the reader an idea of how to apply computervision for other problems that involve shape recognition.
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