Proceedings of the 2nd International Conference on Vision, Image and Signal Processing最新文献_第5页

Autonomous Intelligence for FMV ISR Sensors With A Human In The Loop Decision Support System 基于人在环决策支持系统的FMV ISR传感器自主智能

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271572

Rory A. Lewis

引用次数: 0

Hiding MP3 in Colour Image using Whale Optimization 隐藏MP3在彩色图像使用鲸鱼优化

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271588

A. Chaudhary, M. K. Chaube

引用次数: 1

ISR-Brain Machine Intelligence for Unmanned Aircraft Systems 无人机系统的isr -脑机智能

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271594

Rory A. Lewis

引用次数: 0

Active Object Detection Through Dynamic Incorporation of Dempster-Shafer Fusion for Robotic Applications 基于Dempster-Shafer融合的机器人主动目标检测

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271564

A. S.PouryaHoseini, M. Nicolescu, M. Nicolescu

{"title":"Active Object Detection Through Dynamic Incorporation of Dempster-Shafer Fusion for Robotic Applications","authors":"A. S.PouryaHoseini, M. Nicolescu, M. Nicolescu","doi":"10.1145/3271553.3271564","DOIUrl":"https://doi.org/10.1145/3271553.3271564","url":null,"abstract":"Employing multiple sensing capabilities in a robotic platform offers significant advantages in increasing the recognition abilities of robots. Specifically, for vision-based object detection in a real-world environment, acquiring information from different viewpoints might be decisive for correct classifications in the presence of occlusions or to disambiguate between similar objects. For this reason, an active vision object detection system is proposed in this paper. It is implemented on a robotic environment that uses a 3D camera mounted on the robot head and an RGB camera on its hand. The system tries to detect and recognize objects being seen from the head camera, while computing a confidence score on the classification. In the case of an unreliable classification, another stage of object recognition is dynamically requested, but this time from the viewpoint of the hand camera. The objects detected from the two cameras are matched and their classification decisions are fused through a novel fusion approach based on the Dempster-Shafer evidence theory. Experimental results show sizable improvements in object recognition performance compared to a traditional singlecamera configuration, as well as applicability to handling partial occlusions.","PeriodicalId":414782,"journal":{"name":"Proceedings of the 2nd International Conference on Vision, Image and Signal Processing","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133924775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A Modified Retinex Algorithm for Visualization of High Dynamic Range Images 用于高动态范围图像可视化的改进Retinex算法

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271557

Yongjun Zhuang, Lei Liang, Dongqun Xu

{"title":"A Modified Retinex Algorithm for Visualization of High Dynamic Range Images","authors":"Yongjun Zhuang, Lei Liang, Dongqun Xu","doi":"10.1145/3271553.3271557","DOIUrl":"https://doi.org/10.1145/3271553.3271557","url":null,"abstract":"To solve the problem of high dynamic range (HDR) image visualization in consumer electronics products, this paper proposes an improved Retinex algorithm. The proposed algorithm has three aspects of improving the traditional center/surround Retinex algorithm: First, fast bilateral filter is used instead of Gaussian filter, which not only avoids the halo artifact, but also improves the computing speed. Second, a semi-automatic gain/offset method independent of color channels is developed, which can automatically calculate the position of the clip off in the histogram based on the image content, and effectively improve the contrast of the final image. Finally, unique user parameters can be obtained based on the integration of a large number of parameters in the traditional Retinex, and this parameter allows the user to achieve a balance between computational speed and image quality. Compared with other types of HDR image visualization algorithms, the proposed algorithm has excellent visibility detail and color fidelity. It can be used in consumer digital cameras, monitors, and image post-rendering software.","PeriodicalId":414782,"journal":{"name":"Proceedings of the 2nd International Conference on Vision, Image and Signal Processing","volume":"395 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132067140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Fast Robust Image Feature Matching Algorithm Improvement and Optimization 快速鲁棒图像特征匹配算法改进与优化

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271585

Peiyu Chen, Y. Li, Guanghong Gong

引用次数: 1

Estimating AP Location Using Crowdsourced Wi-Fi Fingerprints with Inaccurate Location Labels 使用不准确位置标签的众包Wi-Fi指纹估计AP位置

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271582

Changmin Sung, Seungwoo Chae, Daehyun Kang, Dongsoo Han

引用次数: 2

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271609

Wei Li, W. Meleis

{"title":"Similarity-Aware Kanerva Coding for On-Line Reinforcement Learning","authors":"Wei Li, W. Meleis","doi":"10.1145/3271553.3271609","DOIUrl":"https://doi.org/10.1145/3271553.3271609","url":null,"abstract":"A major challenge in reinforcement learning (RL) is use of a tabular representation to represent learned policies with a large number of states or state-action pairs. Function approximation is a promising tool to overcome this deficiency. This approach uses parameterized functions instead of a table to represent learned knowledge and enables generalization. However, existing schemes cannot solve realistic RL problems, with their rapidly increasing demands for approximating accuracy and efficiency. In this paper, we extend the architecture of Sparse Distributed Memories (SDMs) and propose a novel on-line methodology, similarity-aware Kanerva coding (SAK), that closely represents the learned knowledge for very large-scale problems with significantly fewer parameterized components. SAK directly measures the state variables' real distances in all dimensions and reformulates a new state similarity metric with an improved definition of state closeness. As a result, our scheme accurately distributes and generalizes knowledge among related states. We further enhance SAK's efficiency by allowing a limited number of prototype states that have certain similarities to be activated for value approximation so that the risk of over-generalization is hindered. In addition, SAK eliminates size tuning and prototype reallocation for the prototype set, resulting in not only broadened scalability but also significant savings in the amount of necessary prototypes and computational overhead needed for RL. Our extensive experimental results show that SAK achieves more than 48% improvements over existing schemes in learning quality, and reveal that SAK is able to consistently learn good policies for RL with small overhead and short training times, even given roughly tuned scheme parameters.","PeriodicalId":414782,"journal":{"name":"Proceedings of the 2nd International Conference on Vision, Image and Signal Processing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125535792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Image Resolution Enhancement for Remote Sensing Applications 遥感应用的图像分辨率增强

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271590

C. Kwan

引用次数: 10

Improvement of Embedding Channel-Wise Activation in Soft-Attention Neural Image Captioning 软注意神经图像字幕中嵌入通道激活的改进

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271592

Yanke Li

引用次数: 1