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检索条件"任意字段=Conference on Visual Communications and Image Processing 2001"

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Tag-Based Social image Search with Hyperedges Correlation

Tag-Based Social Image Search with Hyperedges Correlation

引用

IEEE visual communications and image processing conference

作者： Wang, Leiquan Zhao, Zhicheng Su, Fei Beijing Univ Posts & Telecommun Sch Informat & Commun Engn Beijing Univ Posts & Telecommun Beijing Peoples R China Beijing Univ Posts & Telecommun Beijing Key Lab Network Syst & Network Culture Beijing Peoples R China China Univ Petr Huadong Sch Comp & Commun Engn Qingdao Peoples R China

ISBN: (纸本)9781479961399

In social image search, most existing hypergraph methods use the visual and textual features in isolation by treating each feature term as a hyperedge. Nevertheless, they neglect the correlations of visual and textual hyperedges, which are more robust to represent the high-order relationship among vertices. In this paper, we propose a hypergraph with correlated hyperedges (CHH), which introduces high-order relationship of hyperedges into hypergraph learning. Based on CHH, a pairwise visual-textual correlation hypergraph (VTCH) model is used for tagbased social image search. To overcome the large number of newly generated hybrid hyperedges, a bagging-based method is adopted to balance the accuracy and speed. Finally, adaptive hyperedges learning method is used to obtain the relevance score for social image search. The experiments conducted on MIR Flickr show the effectiveness of our proposed method.

关键词： Social image search multimodal hypergraph learning hybrid hyperedges bagging

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A Robust Feature Extraction Method for image-Based visual Servoing 1

引用

3rd International conference on Cognitive Systems and Information processing (ICCSIP)

作者： Qiu, Zhoujingzi Hu, Shiqiang Luo, Lingkun Tang, Fuhui Cai, Jiyuan Zhang, Hong Shanghai Jiao Tong Univ Sch Aeronaut & Astronaut Shanghai Peoples R China

ISBN: (数字)9789811052309

ISBN: (纸本)9789811052309;9789811052293

This paper deals with the visual positioning task in the image-based visual servoing. The controller is based on the discretized model of image Jacobian matrix. The visual servo controller can solve the intractable problems, such as large displacements between the initial and the desired pose of the camera. This controller can achieve a smooth and linear image trajectory in the image space. The developed IBVS controller also enhances the camera trajectory in 3-D space with time-varying depth. The proposed line feature extraction method is robust to the image noises, the dim light condition and the shadows. The simulation test is performed to validate the effectiveness of the proposed image-based visual controller and line feature extraction method.

关键词： visual positioning image-based visual servoing Smooth trajectory Time-varying depth Line feature extraction

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Gaussian Distributed Deployment of Relay Nodes for Wireless visual Sensor Networks

Gaussian Distributed Deployment of Relay Nodes for Wireless ...

引用

IEEE Global communications conference (GLOBECOM)

作者： Li, Hailong Pandit, Vaibhav Agrawal, Dharma P. Univ Cincinnati Sch Comp Sci & Informat Cincinnati OH 45221 USA

ISBN: (纸本)9781467309219;9781467309202

The visual sensing capability of a visual Sensor Network (VSN) makes it a very effective tool for applications such as large scale surveillance, environmental monitoring and object tracking. The image sensing, processing and storing functions of the VSN, combined with its function of transmitting and forwarding data towards the sink, consumes more energy and increases the well known energy-hole problem in the network. In this paper, we propose to deploy a Gaussian distributed relay network over pre existing uniform random VSN so as to avoid the energy-hole problem. By forming a heterogeneous wireless sensor network with low-cost relay nodes (RNs), lifetime of the VSN is prolonged with minimal additional cost. We use the energy model of image compression enabled VSNs and determine optimal parameters for the Gaussian deployment of the relay network.

关键词： Gaussian distribution data compression image coding relay networks (telecommunication) telecommunication network reliability visual communication wireless sensor networks

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BRIGHTNESS PRESERVING VIDEO CONTRAST ENHANCEMENT USING S-SHAPED TRANSFER FUNCTION

BRIGHTNESS PRESERVING VIDEO CONTRAST ENHANCEMENT USING S-SHA...

引用

IEEE International conference on visual communications and image processing (VCIP)

作者： Gu, Ke Zhai, Guangtao Liu, Min Min, Xiongkuo Yang, Xiaokang Zhang, Wenjun Shanghai Jiao Tong Univ Inst Image Commun & Informat Proc Shanghai 200030 Peoples R China Shanghai Key Lab Digital Media Proc Shanghai 200030 Peoples R China

ISBN: (纸本)9781479902880

This paper presents an efficient perceptual model inspired efficient video contrast enhancement algorithm. We propose a S-shaped transfer function for image pixel values that effectively improves the perceived contrast while preserving brightness of the scene. The S-shaped transfer function has only one control parameter that can be adaptively chosen for different video contents, such as sports, cartoon, news, and landscape programs. Then, the input image brightness is further preserved, in order to maintain the perception of human visual system (HVS) to some special scenes, such as dark scene and seaside scene. Experiments and comparative study on VQEG Phase I test database demonstrate that the proposed S-shaped Transfer function based Brightness Preserving (STBP) contrast enhancement algorithm outperforms various histogram equalization based methods such as HE, DSIHE, RSIHE and WTHE, yet with much lower computational complexity.

关键词： Video contrast enhancement S-shaped transfer curves human visual system (HVS) video scenes brightness preservation

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VHDL design for hardware assistance of fractal image compression

VHDL design for hardware assistance of fractal image compres...

引用

conference on visual communications and image processing 2001

作者： Erickson, AJ Shaaban, ME Hsu, KW Czernikowski, RS IBM Microelect Essex Jct VT USA

ISBN: (纸本)0819439886

Fractal image compression has several useful properties, including resolution independence, high compression ratios, rapid decoding, and subjectively good image quality. Despite this, its adoption has been limited, largely because of the very high computational burden of compression. In this paper, an original ASIC design is described which performs the comparisons required for fractal image compression of grayscale images. The design is based around a pipeline of many individual block comparison units through which the set of domain blocks are propagated. Each unit performs the required comparisons between a single range block and the series of domain blocks, and stores the best possible match. The ASIC is designed using synthesizable VHDL, allowing it to be targeted to virtually any digital technology. The small portions of the design which are specific to a particular application or technology, such as the bus interfaces and memory blocks, have been kept separate from the application-independent portions of the design. Simulations of the design suggests that an actual hardware implementation would be about one thousand times faster than a general purpose microprocessor based on similar IC technology, reducing the time required to optimally compress a 256 x 256 image using 8 x 8 range blocks from a few minutes to a fraction of a second.

关键词： fractal image compression VHDL ASIC fractal image coding image compression image processing

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New perceptual quality assessment method with reduced reference for compressed images

New perceptual quality assessment method with reduced refere...

引用

conference on visual communications and image processing 2003

作者： Carnec, M Le Callet, P Barba, D Univ Nantes Ecole Polytech Nantes France

ISBN: (纸本)0819450235

This paper presents a new method to measure the quality of compressed images. The method is based on a Human visual System model and extracts perceptual structural information from images. This model is implemented and perceptual representations of images are built. These representations describe the structural information of images. For quality assessment, the representation of the original image, actually a reduced reference, is compared to the representation of the distorted image using similarity measures. Similarity scores have shown to be highly correlated with the quality of images produced by human observers in experiments. So the novelty of this method is that structural information is used to assess the quality. This method has been implemented in an application called "Smart Compress" (freely available on the Internet) which allows the user to compress images in JPEG format by choosing the visual quality of the output images.

关键词： image compression image quality visualization Feature extraction visual process modeling Eye image processing visual system Eye models Internet

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Perceptual indexing of visual information

Perceptual indexing of visual information

引用

conference on visual communications and image processing 2002

作者： Fahmy, GF Panchanathan, S Arizona State Univ Dept Comp Sci & Engn Visual Comp & Commun Lab Tempe AZ 85287 USA

ISBN: (纸本)0819444111

The application of Human perceptual models in image and video coding is motivated by the fact that non-perceptual distortion metrics (mean square error) do not correlate well with the perceived quality at lower bit-rates despite their acceptable signal to noise ratio. In this paper, we propose a novel approach for indexing the visual content of images based on human perceptual thresholds employed for encoding. In other words, the thresholds that are employed in perceptual coding also serve as an index. These thresholds depend on the overall luminance, frequency/orientation, and the variety of patterns in an image and can serve as indexing features. These features therefore have the potential to retrieve perceptually similar images in response to a query image. Detailed simulations have been carried out using the proposed indexing concept in the DCT compressed domain. Here, the indices have been computed using the DCTune coding technique, which has been shown to provide a superior visual quality in encoding images. Simulation results demonstrate that superior retrieval performance can be achieved for specific classes of images while comparable performance is obtained for other image classes.

关键词： visualization image retrieval Information visualization image quality Computer programming image compression Quantization Databases Feature extraction visual communications

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SALIENT OBJECT DETECTION IN image SEQUENCES VIA SPATIAL-TEMPORAL CUE

SALIENT OBJECT DETECTION IN IMAGE SEQUENCES VIA SPATIAL-TEMP...

引用

IEEE International conference on visual communications and image processing (VCIP)

作者： Gan, Chuang Qin, Zengchang Xu, Jia Wan, Tao Tsinghua Univ Inst Interdisciplinary Informat Sci Beijing 100084 Peoples R China Beihang Univ Intelligent Comp & Machine Learning Lab Beijing Peoples R China Beihang Univ Sch Biol Sci & Med Engn Beijing Peoples R China

ISBN: (纸本)9781479902880

Contemporary video search and categorization are non-trivial tasks due to the massively increasing amount and content variety of videos. We put forward the study of visual saliency models in video. Such a model is employed to identify salient objects from the image background. Starting from the observation that motion information in video often attracts more human attention compared to static images, we devise a region contrast based saliency detection model using spatial-temporal cues (RCST). We introduce and study four saliency principles to realize the RCST. This generalizes the previous static image for saliency computational model to video. We conduct experiments on a publicly available video segmentation database where our method significantly outperforms seven state-of-the-art methods with respect to PR curve, ROC curve and visual comparison.

关键词： object detection saliency spatial-temporal cue

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A Comparative Study on Deep CNN visual Encoders for image Captioning 1

引用

8th International conference on Computer Vision and image processing (CVIP)

作者： Arun, M. Arivazhagan, S. Harinisri, R. Raghavi, P. S. Mepco Schlenk Engn Coll Dept Elect & Commun Engn Sivakasi Tamil Nadu India

ISBN: (数字)9783031585357

ISBN: (纸本)9783031585340;9783031585357

Captioning an image is the process of describing it with syntactically and semantically meaningful terms. An image caption generator is developed by the integration of computer vision and natural language processing technology. Despite the fact that numerous techniques for generating image captions have been developed, the result is inadequate and the need for research in this area is still a demanding topic. The human process of describing any image is by seeing, focusing and captioning, which is equivalent that of feature representation, visual encoding and language generation for the image captioning systems. This study presents the construction of a simple deep learning-based image captioning model and investigates the efficacy of different visual encoding methods employed in the model. We have analyzed and compared the performance of six different pre-trained CNN visual encoding models using Bilingual Evaluation Understudy (BLEU) scores.

关键词： image Captioning Flickr8K visual Encoding BLEU Flickr30K

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Robust parametric motion estimation for image mosaicing in the MPEG-7 standard

Robust parametric motion estimation for image mosaicing in t...

引用

International conference on image processing (ICIP 2001)

作者： Wallin, H Christopoulos, C Furesjö, F Ericsson Radio Syst AB MediaLab Ericsson Res S-16480 Stockholm Sweden

ISBN: (纸本)0780367251

A robust parametric motion estimation algorithm is presented in this paper. The algorithm is an extension of the 4-2-1 pixel hierarchical search used in previous MPEG-7 visual eXperimental Model (XM) algorithm of the MPEG-7 standard. A refined version of the Levenberg-Marquardt algorithm is used in a hierarchical coarser-to-fine scale-space that makes sure that optimization is done in steps that always decrease the displacement and avoids local minimizers, The application of the algorithm in image mosaic construction is shown, demonstrating the ability of the algorithm to handle frames with large transitions. The algorithm was accepted for inclusion in the latest MPEG-7 visual XM and Multimedia Description Schemes XM.

关键词： Motion estimation

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