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检索条件"任意字段=International Conference on Computer Vision and Image Processing, CVIP 2016"

共 1407 条记录，以下是301-310 订阅

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image Aesthetic Assessment: A Deep Learning Approach Using Class Activation Map 1

引用

5th international conference on computer vision and image processing, cvip 2020

作者： Sherashiya, Shyam Shikkenawis, Gitam Mitra, Suman K. Dhirubhai Ambani Institute of Information and Communication Technology Gandhinagar India C.R. Rao Advanced Institute of Mathematics Statistics and Computer Science Hyderabad India

ISBN: (数字)9789811610929

ISBN: (纸本)9789811610912

Aesthetics is concerned with the beauty and art of things in the world. Judging the aesthetics of images is a highly subjective task. Recently, deep learning-based approaches have achieved great success in image aesthetic assessment problem. In this paper, we have implemented various multi-channel Convolution Neural Network (CNN) architectures to classify images in high and low aesthetic quality. Class activation maps of images are used as input to one channel along with variation of raw images in the proposed two-channel deep network architecture. Various pre-trained deep learning models such as VGG19, InceptionV3, Resnet50 have been implemented in the proposed multi-channel CNN architecture. Experiments are reported on the AVA dataset, which shows improvement in the image aesthetic assessment task over existing approaches. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Network architecture

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Implementation of HCI Software Interface based on image Identification and Segmentation Algorithms

Implementation of HCI Software Interface based on Image Iden...

引用

Online international conference on Green Engineering and Technologies (IC-GET)

作者： Zuo, Haichun Guangzhou Nanyang Coll Guangzhou 510900 Guangdong Peoples R China

ISBN: (纸本)9781509045563

In this paper, we propose the new implementation of HCI software interface based on the image identification and the segmentation algorithms. Human-computer interaction refers to using the dialogue between man and computer language, in a certain way of the interaction, to determine the task of the exchange of the information between people and the computer process. The meaning of the image recognition technology is very wide, mainly refers to through the computer, using mathematical method, a system for the front-end to obtain images of treatment have been carried out in accordance with the specific purpose. image segmentation is one of the most important content in the field of computer vision is the first to realize automatic image analysis and pattern recognition problem which is also one of the classic problems of image processing. We combine the mentioned techniques to form the optimized novel perspective of the HCI interface design that is innovative. The experimental simulation verifies the feasibility of the approach.

关键词： Software Interface image Identification image Segmentation HCI Algorithm Implementation

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An educational tool for understanding discrete Fourier transforms

An educational tool for understanding discrete Fourier trans...

引用

2016 international conference on image processing, computer vision, and Pattern Recognition, IPCV 2016

作者： Deligiannidis, Leonidas Wentworth Institute of Technology Department of Computer Science and Networking 550 Huntington Avenue BostonMA02115 United States

ISBN: (纸本)1601324421

In this paper we present a light-weight image Analysis tool targeted at undergraduate students. More specifically, our tool enables undergraduate students to interact with the application in real time to understand how Fourier Transforms work (FT). This is achieved by displaying intermediate results in different windows in the application’s canvas, while the user interacts with the tool’s controls. The user is also able to add functionality to the tool or modify existing capabilities in order to understand better the way FTs work. This way, the students can introduce and experiment with new algorithms which can be implemented programmatically and incorporated in the tool’s library. © CSREA Press.

关键词： Discrete Fourier transforms

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Medical image Retrieval and Quantitative estimations via Ray-based Methods 26

Medical Image Retrieval and Quantitative estimations via Ray...

引用

26th international conference on computer Graphics and vision, GraphiCon 2016

作者： Esmaeilishahmirzadi, Nasibeh Institute for Information Technologies Mathematics and Mechanics Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod Russia

The main goal of this paper is to review some existing text-based and content-based image retrieval systems and methods. The images should be indexed properly to be saved and retrieved. It is suggested although images have some features different from texts but some techniques in text retrieval such as artificial intelligence and relevance feedback can be used to improve the image retrieval systems. In addition, due to the importance of on-time diagnosis of lung cancer, an algorithm based on CT images processing is introduced. This proposed algorithm is described in order to determine area of tumor. The algorithm has three stages and result is shown in histogram of images. © Proceedings of the 26th international conference on computer Graphics and vision, GraphiCon 2016. All rights reserved.

关键词： Search engines

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An Aerocraft Photogrammetry Position Sensing System

An Aerocraft Photogrammetry Position Sensing System

引用

IEEE international conference on Signal and image processing (ICSIP)

作者： Xu, Tao Yang, Chao Cai, Bin Zhu, Yongli Syst Engn Res Inst Aviat Syst Res Dept Beijing Peoples R China

ISBN: (纸本)9781509023776

Landing aerial crafts, such as helicopters, on the board of naval vessels of small or medium size is a difficult and risky task for pilots since the tonnages are not large enough which makes the ships always swinging along with ocean waves. Thus the landing areas are moving all the way with six degrees of freedom randomly. Even, this mission will become dangerous and deadly when the weather is stormy. Here, we design a real-time and automatic position sensing system to track, locate and help a helicopter to land on deck safely under all weather conditions. For the sake of practical application, we have not only adopted some ready and mature computational technologies from image processing, photogrammetry and computer vision, but also chosen some simple but effective optical elements to reduce the computational complexity. The system is composed of camera units, image-processing unit, controlling system and fiber optical communication unit. Experimental results show our system is capable of all-weather, real-time, robust and automatic landing mission.

关键词： Photogrammetry position sensing camera calibration image processing

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computer vision based Animal Collision Avoidance Framework for Autonomous Vehicles 5th

Computer Vision based Animal Collision Avoidance Framework f...

引用

5th international conference on computer vision and image processing, cvip 2020

作者： Gupta, Savyasachi Chand, Dhananjai Kavati, Ilaiah National Institute of Technology Warangal Warangal506004 India

ISBN: (纸本)9789811611025

Animals have been a common sighting on roads in India which leads to several accidents between them and vehicles every year. This makes it vital to develop a support system for driverless vehicles that assists in preventing these forms of accidents. In this paper, we propose a neoteric framework for avoiding vehicle-to-animal collisions by developing an efficient approach for the detection of animals on highways using deep learning and computer vision techniques on dashcam video. Our approach leverages the Mask R-CNN model for detecting and identifying various commonly found animals. Then, we perform lane detection to deduce whether a detected animal is on the vehicle’s lane or not and track its location and direction of movement using a centroid based object tracking algorithm. This approach ensures that the framework is effective at determining whether an animal is obstructing the path or not of an autonomous vehicle in addition to predicting its movement and giving feedback accordingly. This system was tested under various lighting and weather conditions and was observed to perform relatively well, which leads the way for prominent driverless vehicle’s support systems for avoiding vehicular collisions with animals on Indian roads in real-time. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Animals

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A study on deep learning for breast cancer detection in histopathological images 4th

A study on deep learning for breast cancer detection in hist...

引用

4th international conference on computer vision and image processing, cvip 2019

作者： Singh, Oinam Vivek Choudhary, Prakash Thongam, Khelchandra Department of Computer Science and Engineering NIT Manipur Imphal India Department of Computer Science and Engineering NIT Hamipur Hamirpur India

ISBN: (纸本)9789811540172

Pathological examination is the most accurate method for the diagnosis of cancer. Breast cancer histopathology evaluation analyses the chemical and cellular characteristics of the cells of a suspicious breast tumor. A computer-aided automatic classifier with the help of machine learning can improve the diagnosis system in terms of accuracy and time consumption. These types of system can automatically distinguish a benign and malignant pattern in a breast histopathology image. It can reduce the workload of pathologists and can provide a more accurate process. In recent years, like in other areas, deep networks have also attracted for histopathology image analysis. Convolution Neural Network has become a preferred choice for images analysis including breast histopathology. In this paper, we review various deep learning concepts applied to breast cancer histopathology analysis and summarizes contributions to this field. We present a summary of the recent developments and a discussion about the best practices done using deep in breast histopathology analysis and improvements that can be done in future research. © Springer Nature Singapore Pte Ltd 2020.

关键词： image analysis

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Preliminary Investigation of Walking Motion Using a Combination of image and Signal processing

Preliminary Investigation of Walking Motion Using a Combinat...

引用

international conference on Computational Science and Computational Intelligence (CSIC)

作者： Schneider, Bradley Banerjee, Tanvi Wright State Univ Dept Comp Sci & Engn Fairborn OH 45324 USA

ISBN: (纸本)9781509055104

We present the results of analyzing gait motion in first-person video taken from a commercially available wearable camera embedded in a pair of glasses. The video is analyzed with three different computer vision methods to extract motion vectors from different gait sequences from four individuals for comparison against a manually annotated ground truth dataset. Using a combination of signal processing and computer vision techniques, gait features are extracted to identify the walking pace of the individual wearing the camera as well as validated using the ground truth dataset. Our preliminary results indicate that the extraction of activity from the video in a controlled setting shows strong promise of being utilized in different activity monitoring applications such as in the eldercare environment, as well as for monitoring chronic healthcare conditions.

关键词： video analysis motion and tracking algorithms and applications gait analysis activity detection

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Palmprint recognition based on minutiae quadruplets

Palmprint recognition based on minutiae quadruplets

引用

international conference on computer vision and image processing, cvip 2016

作者： Rao, A. Tirupathi Ramaiah, N. Pattabhi Mohan, C. Krishna Department of Computer Science and Engineering Indian Institute of Technology Hyderabad Hyderabad502205 India

ISBN: (纸本)9789811021060

Palmprint recognition is a variant of fingerprint matching as both the systems share almost similar matching criteria and the minutiae feature extraction methods. However, there is a performance degradation with palmprint biometrics because of the failure of extracting genuine minutia points from the region of highly distorted ridge information with huge data. In this paper, we propose an efficient palmprint matching algorithm using nearest neighbor minutiae quadruplets. The representation of minutia points in the form of quadruplets improves the matching accuracy at nearest neighbors by discarding scope of the global matching on false minutia points. The proposed algorithm is evaluated on publicly available high resolution palmprint standard databases, namely, palmprint benchmark data sets (FVC ongoing) and Tsinghua palmprint database (THUPALMLAB). The experimental results demonstrate that the proposed palmprint matching algorithm achieves the state-of-the-art performance. © Springer Science+Business Media Singapore 2017.

关键词： Palmprint recognition

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image compression and denoising algorithm based on multi-resolution discrete cosine transform

Image compression and denoising algorithm based on multi-res...

引用

2016 international conference on image processing, computer vision, and Pattern Recognition, IPCV 2016

作者： Zhao, Yanjun Belkasim, Saeid Computer Science Department Troy University TroyAL United States Computer Science Department Georgia State University AtlantaGA United States

ISBN: (纸本)1601324421

- Discrete cosine transform (DCT) and wavelet transform coding system are the most popular image compression methods. Although DCT has outstanding energy compaction properties, blocking artifacts impact its performance. Wavelet avoids blocking artifacts;it is also the most popular approach to doing image compression and denoising simultaneously. However wavelet has higher computational complexity. Exploring an image in different resolutions reveals its dominant information in comparison to redundant one. We propose a novel multi-resolution DCT;based on our multi-resolution DCT, we propose a novel algorithm to do image compression and denoising simultaneously. Our algorithm achieves multi-resolution analysis, avoids blocking artifacts, has excellent energy compaction property and is ideal for parallel computing. Compared to wavelet, our algorithm has good computation accuracy and efficiency. © CSREA Press.

关键词： Discrete cosine transforms

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