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2016 International Conference on Audio, Language and Image Processing (ICALIP)最新文献

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Overview: Video recognition from handcrafted method to deep learning method 概述:视频识别从手工方法到深度学习方法
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-01 DOI: 10.1109/ICALIP.2016.7846652
Xiao Xiao, Dan Xu, W. Wan
{"title":"Overview: Video recognition from handcrafted method to deep learning method","authors":"Xiao Xiao, Dan Xu, W. Wan","doi":"10.1109/ICALIP.2016.7846652","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846652","url":null,"abstract":"With the development of information technology, the automatic recognition of human action from video becomes a very popular research topic. In this paper, we review recent state-of-the-art of human action recognition methods in videos. First, we compare several notable handcrafted methods. Then we introduce some deep learning action recognition models. As deep learning becomes hot spot of research in recent years, more and more papers have utilized this method to explore the spatiotemporal features representation. We find that the deep learning methods outperform handcrafted methods at large scale recognition especially in cluttered background. But the networks still have much disadvantage. We expect our overview provides a fairly clear guidance for future research in this domain.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121270612","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: 11
Watermarking algorithm of spatial domain image based on SVD 基于SVD的空间域图像水印算法
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-01 DOI: 10.1109/ICALIP.2016.7846588
Zhang Nana
{"title":"Watermarking algorithm of spatial domain image based on SVD","authors":"Zhang Nana","doi":"10.1109/ICALIP.2016.7846588","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846588","url":null,"abstract":"This paper presents a blind digital watermarking algorithm based on spatial images. We study the theory and characteristic of singular value, scrambling the serial digital watermark images again which mapped out through the chaotic sequence. We divided the original carrier image into blocks, and deal with each small block with the singular value decomposition in order to extract various small singular value matrix, we embed watermarking into the singular value after quantification processing. We carries out the robustness of the experimental, such as JPEG compression attack, cropping attack, noise attack, rotation attack, filtering attack, the results show that this algorithm has strong robustness and better visibility.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116568840","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: 9
Design and implementation of an elderly tracker system 老年人跟踪系统的设计与实现
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-01 DOI: 10.1109/ICALIP.2016.7846632
Xiangning Meng, Rui Wang, Xirui Li
{"title":"Design and implementation of an elderly tracker system","authors":"Xiangning Meng, Rui Wang, Xirui Li","doi":"10.1109/ICALIP.2016.7846632","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846632","url":null,"abstract":"With the science development, human longevity becomes longer, but it brings about an aging population for this reason. Thus, it is extremely important to nurse and care for the aged. When the aged go out without the companion of their children, they may have no way to call for help, if there is any fortuitous event. In this situation, it is urgent to have a kind of product, which can inform children of the aged in time about the current location information of the aged and physical conditions. In the paper, a solution of an elderly tracker (hereinafter referred to as the terminal) is introduced to acquire the current location information of the aged through GSM/GPRS functional module SIM900 and GPS functional module SIM28. Moreover, SOS key is set up to inform their children by dialing an emergency call. BP neural network algorithm is applied to analyze a frequented place of the aged by using the cloud server and to remind them by playing the warning beep at the accident prone location. In addition, the frequented location information of the aged can be provided for elderly service agencies, so as to help these agencies to provide service quality. The solution proposed in the paper had the biggest drifting for 5m by testing actually. Average consumption is about 2.8mA and it is enough to satisfy application demands.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125946924","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
The novel algorithm of bus-cluster phenomenon 公交集群现象的新算法
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-01 DOI: 10.1109/ICALIP.2016.7846650
Kai Yang, W. Wan, Guoliang Chen
{"title":"The novel algorithm of bus-cluster phenomenon","authors":"Kai Yang, W. Wan, Guoliang Chen","doi":"10.1109/ICALIP.2016.7846650","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846650","url":null,"abstract":"With the development of the country, the number of private car is increased rapidly, so as to the traffic problem. During the traffic jam, the bus-cluster phenomenon that the same number of bus always come together. In this article, the algorithm of the bus-cluster phenomenon has been proposed, the proposed algorithm uses the traffic jam model and the bus arrival time predict model, it analyzes the reason of the bus-cluster phenomenon and the relationship between traffic jam and people crowd, it can be used to predict the bus arrival time and plan the urban traffic to avoid the traffic jam.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127185863","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: 0
A robust method of mark recognition for robot autonomous navigation 机器人自主导航中标记识别的鲁棒方法
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-01 DOI: 10.1109/ICALIP.2016.7846622
Yi Liu, Xiang Liu, Yunyu Shi, Fei Wu, Juan Zhang
{"title":"A robust method of mark recognition for robot autonomous navigation","authors":"Yi Liu, Xiang Liu, Yunyu Shi, Fei Wu, Juan Zhang","doi":"10.1109/ICALIP.2016.7846622","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846622","url":null,"abstract":"The vision system of an autonomous robot can obtain and analyze the necessary environmental information used for autonomous decisions. The processing and recognition of the images captured through the autonomous robot visual system is discussed in this paper. The discussion mainly includes three key issues, namely the extraction of image region of interest, the canceling of image inverse projection error, and pattern recognition and matching. For these three key issues, the paper proposes respective solution and verifies the validity of the above solutions through simulation experiments. Finally, the paper analyzes the existing problems in the scheme.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122366797","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
Model-guided and inertia-driven directional minimal path for coronary centerline extraction 模型引导和惯性驱动的冠状动脉中心线提取的定向最小路径
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-01 DOI: 10.1109/ICALIP.2016.7846606
Liu Liu, Ning Sun, X. Zhuang
{"title":"Model-guided and inertia-driven directional minimal path for coronary centerline extraction","authors":"Liu Liu, Ning Sun, X. Zhuang","doi":"10.1109/ICALIP.2016.7846606","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846606","url":null,"abstract":"Extracting centerlines of coronary arteries is a challenging but important task in clinical applications of cardiac computed tomography angiography (CTA). In this paper, we propose an inertia-driven path tracking method based on the directional minimal path (DMP) to automatically extract the coronary centerlines. In DMP, the path tracing is divided into a number of segments. The proposed method adopts the previous segment in the DMP to form the inertia-driven force after the first segment, and thereby increase the robustness of the DMP. To trace the coronary path deeply and thus to obtain a long centerline, we construct a coronary model combining multiple subjects and extract the longest coronary centerline from a branch with a new end-point determination criterion. We evaluated the performance of this method using the Rotterdam Coronary Artery Algorithm Evaluation Framework. The average inside of our centerline extraction results was 0.38mm and the overlap was 83.7%.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"21 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128238219","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
Moving object detection based on background dictionary 基于背景字典的运动目标检测
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-01 DOI: 10.1109/ICALIP.2016.7846554
Huasheng Zhu, Jun Wang, Chenguang Xu, Jun Ye
{"title":"Moving object detection based on background dictionary","authors":"Huasheng Zhu, Jun Wang, Chenguang Xu, Jun Ye","doi":"10.1109/ICALIP.2016.7846554","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846554","url":null,"abstract":"Gaussian Mixture Model (GMM) and its variations process images by per pixel, so they may be corrupted by noises and the computational cost is high. In this paper, we propose a robust moving object detection algorithm with a background dictionary learning. To do this, we first divide an image into multiple image patches that have the same sizes. Each patch is the object or background. Then, A background dictionary is learnt for each patch. The similarity between a patch and the background dictionary is measured, upon which a patch is distinguished between the object and the background. Additionally, in order to adapt the dynamic contexts across in a video sequence, a robust background dictionary updating scheme is proposed. Experimental results demonstrate the effectiveness and robustness of the proposed detection algorithm.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131893688","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
Optimization and realization of parallel frequent item set mining algorithm 并行频繁项集挖掘算法的优化与实现
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-01 DOI: 10.1109/ICALIP.2016.7846585
Ling Yuan, Dan Li, Yuzhong Chen
{"title":"Optimization and realization of parallel frequent item set mining algorithm","authors":"Ling Yuan, Dan Li, Yuzhong Chen","doi":"10.1109/ICALIP.2016.7846585","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846585","url":null,"abstract":"Associative data mining is the research hotspot in the field of big data, and frequent item sets mining is an important step in the analysis of associative data. This paper focuses on analyzing the frequent item sets mining algorithm based on Apriori parallel algorithm. The paper has found two shortages of Apriori parallel algorithm: one is that the key value pair are too many, another is that in the combiner stage, it occupies two much memory. Therefore, we propose an optimized algorithm. In the optimization algorithm, candidate item sets and local count information are saved in memory, greatly reducing the number of generated keys. Meanwhile, in the short length frequent item sets mining, the method of reducing the number of scanning transaction data without generating candidate item sets can improve the algorithm efficiency. We do the experiments in the Hadoop platform to testify the performance of the proposed optimized algorithm. The experiments demonstrate that the time and I/O of the optimized algorithm have been improved greatly, compared with the non-optimized algorithm.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132744422","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
Remote sensing images registration with different viewpoints 不同视点遥感图像配准
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-01 DOI: 10.1109/ICALIP.2016.7846551
Anning Pan, Yang Yang
{"title":"Remote sensing images registration with different viewpoints","authors":"Anning Pan, Yang Yang","doi":"10.1109/ICALIP.2016.7846551","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846551","url":null,"abstract":"Image registration techniques in remote sensing (RS) images play an important role in the field of geographic information system. However, the registration accuracies using current techniques are significantly affected when ground relief variations and imaging viewpoint changes. In this paper, we propose an image registration method for RS images with different viewpoints. We represent two RS images taken from different viewpoints (or affected by ground relief variations) using their extracted SIFT feature points, and register them by the proposed mixed feature based non-rigid correspondence estimator for solving the problems of ground relief variations and imaging viewpoint changes. The image transformation model for finally mapping two images is defined by an affine transformation. We evaluated the performances of the proposed method by two sets of RS images obtained from the Google earth and the unmanned aerial vehicle (UAV), and compared with three state-of-the-art methods where our method shows the best alignments in most cases.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122525958","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
Adaptive acoustic masking based on spectral envelope 基于谱包络的自适应声掩蔽
2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-01 DOI: 10.1109/ICALIP.2016.7846619
Jiang Jingsai, Li Ye, Zhang Peng, Hao Qiu-yun, Ma Xiaofeng, Fan Yan-hong
{"title":"Adaptive acoustic masking based on spectral envelope","authors":"Jiang Jingsai, Li Ye, Zhang Peng, Hao Qiu-yun, Ma Xiaofeng, Fan Yan-hong","doi":"10.1109/ICALIP.2016.7846619","DOIUrl":"https://doi.org/10.1109/ICALIP.2016.7846619","url":null,"abstract":"Acoustic masking can be used to protect the voice information from being eavesdropped. This paper presents a method to generate masking signal which is similar to white noise. It adjusts the white noise spectral energy by linear prediction of the masked speech spectral envelope in real time. The proposed method can accurately determine the frequency spectrum of the masking speech signal, and can adaptively adjust the masking noise volume by detecting masked speech energy in time domain. This algorithm was tested by using SII (Speech Intelligibility Index) defined in American National Standard ANSI S3.5. Experimental results show that this scheme provides better acoustic comfort and better masking capability compared with white masking noise. The algorithm can significantly improve the difficulty of stealing useful voice information by eavesdropper.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121124280","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: 0
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