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检索条件"机构=Computer Graphics and Image Processing Research Laboratory"

共 359 条记录，以下是61-70 订阅

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Intrinsic spectral analysis based on temporal context features for query-by-example spoken term detection 15

Intrinsic spectral analysis based on temporal context featur...

引用

15th Annual Conference of the International Speech Communication Association: Celebrating the Diversity of Spoken Languages, INTERSPEECH 2014

作者： Yang, Peng Leung, Cheung-Chi Xie, Lei Ma, Bin Li, Haizhou Shaanxi Provincial Key Laboratory of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xi'an China Institute for Infocomm Research ASTAR Singapore

We investigate the use of intrinsic spectral analysis (ISA) for query-by-example spoken term detection (QbE-STD). In the task, spoken queries and test utterances in an audio archive are converted to ISA features, and dynamic time warping is applied to match the feature sequence in each query with those in test utterances. Motivated by manifold learning, ISA has been pro- posed to recover from untranscribed utterances a set of nonlin- ear basis functions for the speech manifold, and shown with improved phonetic separability and inherent speaker indepen- dence. Due to the coarticulation phenomenon in speech, we propose to use temporal context information to obtain the ISA features. Gaussian posteriorgram, as an efficient acoustic rep- resentation usually used in QbE-STD, is considered a baseline feature. Experimental results on the TIMIT speech corpus show that the ISA features can provide a relative 13.5% improvement in mean average precision over the baseline features, when the temporal context information is used. Copyright © 2014 ISCA.

关键词： Spectrum analysis

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Interactive Simulation and Visualization of Fluids with Surface Raycasting

Interactive Simulation and Visualization of Fluids with Surf...

引用

Brazilian Symposium on computer graphics and image processing (SIBGRAPI)

作者： Renan Teston Inácio Tiago H. C. Nobrega Diego D. B. Carvalho Aldo von Wangenheim LAPIX - Laboratory for Image Processing and Computer Graphics Federal University of Santa Catarina Florianópolis Brazil

We present a method to couple particle-based fluid simulation methods such as Smoothed Particle Hydrodynamics (SPH) and volume rendering in order to visualize the fluid. A volume is generated from the fluid's implicit density field so volume raycasting can be performed to render the surface on the GPU. The volume generation algorithm is also implemented in the GPU and is suitable to be used with both SPH simulations implemented on CPU and GPU. We compare different implementations of fluid simulation, demonstrating the modularity of the volume generation method and concluding that it can be used together with other particle-based simulation models and other volume rendering techniques.

关键词： Solid modeling graphics processing unit Rendering (computer graphics) Sprites (computer) Mathematical model Fluids Visualization

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Broadcast news story segmentation using probabilistic latent semantic analysis and laplacian eigenmaps

Broadcast news story segmentation using probabilistic latent...

引用

Asia-Pacific Signal and Information processing Association Annual Summit and Conference 2011, APSIPA ASC 2011

作者： Lu, Mimi Zheng, Lilei Leung, Cheung-Chi Xie, Lei Ma, Bin Li, Haizhou Shaanxi Provincial Key Laboratory of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xi'an China Institute for Infocomm Research A STAR Singapore

This paper proposes to integrate probabilistic latent semantic analysis (PLSA) and Laplacian Eigenmaps (LE) for broadcast news story segmentation. PLSA can address synonymy and polysemy problems by exploring underlying semantic relations beneath the actual occurrences of words. LE can provide a data transformation with the advantage of preserving the original temporal structure of sentence cohesive *** adopt PLSA statistics to replace term frequency as the representation of sentences and measure their connective strength. LE analysis is then performed on the connective strength matrix so that the sentence relations becomes geometrically evident for discriminating different stories. A dynamic programming (DP) algorithm is used for story boundary identification. Experiments show that the proposed method achieves superior story segmentation performances with the highest F1-measure of 0:7536 on TDT2 Mandarin BN corpus.

关键词： Semantics

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A Low Complexity Wavelet-Packets Based image Signature for Indexing and Retrieval

A Low Complexity Wavelet-Packets Based Image Signature for I...

引用

Canadian Conference on Electrical and computer Engineering (CCECE)

作者： Saif Zahir Computer Science Department UNBC Image Processing Multimedia and Graphics Laboratory Prince George BC Canada

image signature is a signal that is significantly shorter and simpler than the image signal and can be used to efficiently identify the original image. Generating an image signature that accurately represents an image can only be done by means of extracting specific features of the image and express it in an efficient way. In this paper, a new wavelet-packets-based (WP) image signature that can be used for image indexing and fast retrieval is proposed. This signature is generated via encoding the position of specific points of the signal that represents some statistics of the wavelet packets coefficients in the various frequency bands. computer simulation results using nearly 7500 image signatures show that the targeted image signature was identified with a very high accuracy in a very short period of time. Also, it showed that the proposed signature is robust against geometric transformation

关键词： Wavelet packets Indexing image retrieval Signal processing image generation Feature extraction Signal generators Encoding Statistics Frequency

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Optimal surface normal from affine transformation 10

Optimal surface normal from affine transformation

引用

10th International Conference on computer Vision Theory and Applications, VISAPP 2015

作者： Daniel, Barath Molnar, Jozsef Hajder, Levente Geometric Modelling and Computer Vision Laboratory MTA SZTAKI Kende utca 13-17 BudapestH-1111 Hungary Department of Image Processing and Computer Graphics Institute of Informatics University of Szeged Árpád tér 2 SzegedH-6720 Hungary

ISBN: (纸本)9789897580918

This paper deals with surface normal estimation from calibrated stereo images. We show here how the affine transformation between two projections defines the surface normal of a 3D planar patch. We give a formula that describes the relationship of surface normals, camera projections, and affine transformations. This formula is general since it works for every kind of cameras. We propose novel methods for estimating the normal of a surface patch if the affine transformation is known between two perspective images. We show here that the normal vector can be optimally estimated if the projective depth of the patch is known. Other non-optimal methods are also introduced for the problem. The proposed methods are tested both on synthesized data and images of real-world 3D objects.

关键词： Cameras

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Parallel conflict-free optimal access to complete extended Q-ary trees 4th

Parallel conflict-free optimal access to complete extended Q...

引用

4th International Workshop on Parallel processing by Cellular Automata and Arrays, Parcella 1988

作者： Creutzburg, Reiner Academy of Sciences of the G.D.R Central Institute of Cybernetics and Information Processes International Basic Laboratory for Image Processing and Computer Graphics Kurstrasse 33 P.O.Box 1298 BerlinDDR-1086 Germany

ISBN: (纸本)9783540506478

In this paper we investigate the parallel conflict-free access to complete extended q-ary subtrees of complete q-ary trees. Thereby the memory module assignment function S is supposed to be recursively linear and nonlinear. Known results for extended binary subtree access are generalized to the case of extended q-ary subtrees. Furthermore optimal solutions for isotropic nonlinear extended q-ary subtree access are given. © by Akademie-Verlag Berlin 1989.

关键词： Forestry

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research on Chinese Summary Generation Based on Pointer Key Information 5

Research on Chinese Summary Generation Based on Pointer Key ...

引用

5th International Conference on computer Information Science and Application Technology, CISAT 2022

作者： Huang, Wenming Bu, Xianghui Xiao, Yannan Wen, Yayuan Deng, Zhenrong School of Computer and Information Security Guilin University of Electronic Technology Guangxi Guilin China Guangxi Key Laboratory of Image and Graphics Intelligent Processing Guangxi Guilin China College of Electronic Engineering Guangxi Normal University Guangxi Guilin China

ISBN: (纸本)9781510660076

Sequence-to-sequence models provide a feasible new approach for generative text summarization, but these models are not able to accurately reproduce factual details and subject information. To address the problem of unconstrained and uncontrollable content generation of generative text summarization models, this paper proposes a generative summarization method KGIT that uses Transformer as a skeleton and incorporates both BERT pre-training model and keyword information. The model uses a comprehensive keyword extraction algorithm, uses two results extracted by LSTM and TextRank as vocabularies respectively, and uses pointers keywords are selected and the extracted keywords are used as the guiding information to generate the summary based on the guiding information. KGIT model can associate the source text and keywords to avoid generating a summary of irrelevant topics. The ROUGE value is used as the evaluation criterion for text summaries, and the summaries generated by the KGIT model can contain more key information and are more accurate and readable when compared with the mainstream summary generation models on the NLPCC2017 Chinese news summary dataset. © 2022 SPIE.

关键词： Natural language processing systems

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Insulator Defect Detection Algorithm Based on Improved YOLOv5s 5

Insulator Defect Detection Algorithm Based on Improved YOLOv...

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5th International Conference on computer Information Science and Application Technology, CISAT 2022

作者： Huang, Wenming Li, Tingting Xiao, Yannan Wen, Yayuan Deng, Zhenrong School of Computer and Information Security Guilin University of Electronic Technology Guangxi Guilin China Guangxi Key Laboratory of Image and Graphics Intelligent Processing Guangxi Guilin China College of Electronic Engineering Guangxi Normal University Guangxi Guilin China

ISBN: (纸本)9781510660076

As one of the extremely important components on the transmission tower, the insulator has two functions of electrical insulation and wire fixing, which directly affects the operation of the power system. Defects in insulators can impair the service life of transmission lines. UAV aerial photography of electric power towers has problems such as small number of defective insulator samples, small area, large aspect ratio of insulator strings, and variable inclination angle, coupled with the influence of environmental factors such as light, interference, distance, etc., which lead to low detection accuracy of insulator defects. Aiming at the above problems, an improved YOLOv5 insulator defect detection algorithm is proposed. First, screen the aerial images and use data augmentation to obtain a sufficient number of defective insulator images to enrich the dataset and avoid model overfitting. Secondly, the convolutional attention module CBAM is introduced to improve the expression ability of defect insulator features and strengthen the network's ability to identify targets. Finally, the Leaky ReLU activation function of the hidden layer of the original YOLOv5 algorithm is replaced by the Mish function to improve the generalization ability of the network. The experimental results show that compared with the original YOLOv5 algorithm, the average precision mAP (IOU=0.5) of the improved algorithm is increased by 7.8%, which effectively improves the problems of false detection and missed detection in the original algorithm. Compared with other mainstream object detection algorithms, the algorithm proposed in this paper has better detection effect on insulator defects. © 2022 SPIE.

关键词： Defects

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Chinese Text Summarization Generation Based on Transformer and Temporal Convolutional Network 2

Chinese Text Summarization Generation Based on Transformer a...

引用

2nd International Conference on Electronic Information Technology, EIT 2023

作者： Huang, Wenming Zhou, Yaowei Xiao, Yannan Wen, Yayuan Deng, Zhenrong School of Computer and Information Security Guilin University of Electronic Technology Guangxi Guilin China Guangxi Key Laboratory of Image and Graphics Intelligent Processing Guangxi Guilin China College of Electronic Engineering Guangxi Normal University Guangxi Guilin China

ISBN: (数字)9781510666627

ISBN: (纸本)9781510666610

The recurrent neural network model based on attention mechanism has achieved good results in the text summarization generation task, but such models have problems such as insufficient parallelism and exposure bias. In order to solve the above problems, this paper proposes a two-stage Chinese text summarization generation method based on Transformer and temporal convolutional network. The first stage uses a summary generation model that fuses Transformer and a temporal convolutional network, and generates multiple candidate summaries through beam search at the decoding end. In the second stage, contrastive learning is introduced, and the candidate summaries are sorted and scored using the Roberta model to select the final summary. Through experiments on the Chinese short text summarization dataset LCSTS, ROUGE was used as the evaluation method to verify the effectiveness of the proposed method on Chinese text summarization. © 2023 SPIE.

关键词： Convolution

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AF-FCOS: An Improved Anchor-Free Object Detection Method 1st

AF-FCOS: An Improved Anchor-Free Object Detection Method

引用

1st International Conference on Applied Intelligence, ICAI 2023

作者： Li, Hang Yang, Rui Lan, Rushi Luo, Xiaonan Guangxi Key Laboratory of Image Graphics and Intelligent Processing Guilin University of Electronic Science and Technology Guangxi Guilin China Satellite Navigation Positioning and Location Service National and Local Joint Engineering Research Center Guangxi Guilin China

ISBN: (纸本)9789819709021

The anchor-free object detection method avoids the complex hyper-parameter setting problem of the traditional anchor-based method, and has more advantages in accuracy and speed. However, it still has some problems such as low precision of small-scale object detection and poor detection result under complex background. To solve this problem, an improved anchor-free object detection method based on FCOS is proposed in this paper. By adding an efficient channel attention mechanism module to the feature extraction network and using a local cross-channel interaction strategy without dimensionality reduction, the 1D convolution kernel size is adaptively selected to obtain useful dependencies between channels and improve feature extraction capability. A context extraction module is designed in feature fusion network to explore context information from multiple receptive fields and improve classification accuracy. In the training stage, DIoU loss is used to make the regression of the border more stable and accurate, and the training process converges faster. The proposed method is evaluated on COCO2017. The experimental results show that compared with the baseline FCOS method, the average accuracy of the proposed method is improved by 1.3%, which has advantages in comprehensive performance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Object detection

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