Pub Date : 2015-06-06DOI: 10.1109/ICCE-TW.2015.7216977
M. Muzammil, I. Ali, M. Sharif, K. A. Khalil
Motion Estimation (ME) is the most critical and complex part of any video codec system. The different algorithms and their architectures are proposed for ME process. In this paper, we have proposed an efficient architecture for Hexagon Based Search (HexBS) algorithm and implemented on XC4VSX25 Virtex4 FPGA. Simulation results show that the proposed architecture is capable of calculating the Motion Vectors (MVs) of 1280×720 High Definition (HD) videos with the best case throughput of 70 frames/sec. Moreover, the power and frequency requirements are 215mW and 127.27 MHz respectively for the proposed architecture with minimum hardware resources. Hence the proposed architecture is suitable for the real-time HD video applications.
运动估计是视频编解码系统中最关键、最复杂的部分。针对ME过程提出了不同的算法及其体系结构。本文提出了一种高效的Hexagon Based Search (HexBS)算法架构，并在XC4VSX25 Virtex4 FPGA上实现。仿真结果表明，该架构能够计算1280×720高清视频的运动矢量(mv)，最佳吞吐量为70帧/秒。在硬件资源最少的情况下，该架构的功耗和频率要求分别为215mW和127.27 MHz。因此，所提出的体系结构适用于实时高清视频应用。
{"title":"An efficient FPGA architecture for hardware realization of hexagonal based motion estimation algorithm","authors":"M. Muzammil, I. Ali, M. Sharif, K. A. Khalil","doi":"10.1109/ICCE-TW.2015.7216977","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7216977","url":null,"abstract":"Motion Estimation (ME) is the most critical and complex part of any video codec system. The different algorithms and their architectures are proposed for ME process. In this paper, we have proposed an efficient architecture for Hexagon Based Search (HexBS) algorithm and implemented on XC4VSX25 Virtex4 FPGA. Simulation results show that the proposed architecture is capable of calculating the Motion Vectors (MVs) of 1280×720 High Definition (HD) videos with the best case throughput of 70 frames/sec. Moreover, the power and frequency requirements are 215mW and 127.27 MHz respectively for the proposed architecture with minimum hardware resources. Hence the proposed architecture is suitable for the real-time HD video applications.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132723969","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}
Heartbeat information is a crucial indicator in the clinical detection of life parameters. Current mainstream methods used for detecting heartbeats are contact detection technologies. Noncontact detection refers to using external energy to detect human physiological environment changes without contacting the human body.
{"title":"Analysis of noncontact heartbeat detection","authors":"Yang-Han Lee, Hsien-Wei Tseng, Chien-Da Huang, Yung-Wen Lee, Chin-Shan Hung","doi":"10.1109/ICCE-TW.2015.7216803","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7216803","url":null,"abstract":"Heartbeat information is a crucial indicator in the clinical detection of life parameters. Current mainstream methods used for detecting heartbeats are contact detection technologies. Noncontact detection refers to using external energy to detect human physiological environment changes without contacting the human body.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"57 34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114120958","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}
Pub Date : 2015-06-06DOI: 10.1109/ICCE-TW.2015.7216959
Yoshihiro Sugaya, K. Motoyama, S. Omachi
Peer-to-peer system is a promising solution to manage a large amount of data, but similarity search on peer-to-peer network with a restricted small number of messages is a challenging problem. Existing methods that can perform similarity search work only with low-dimensional data. We propose a method to transform the very high-dimensional data into low-dimensional vectors in order to perform similarity search.
{"title":"Data arrangement and dimensional compression using Vivaldi for similarity search on structured peer-to-peer network","authors":"Yoshihiro Sugaya, K. Motoyama, S. Omachi","doi":"10.1109/ICCE-TW.2015.7216959","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7216959","url":null,"abstract":"Peer-to-peer system is a promising solution to manage a large amount of data, but similarity search on peer-to-peer network with a restricted small number of messages is a challenging problem. Existing methods that can perform similarity search work only with low-dimensional data. We propose a method to transform the very high-dimensional data into low-dimensional vectors in order to perform similarity search.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"6 35","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120927891","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}
Pub Date : 2015-06-06DOI: 10.1109/ICCE-TW.2015.7217000
Zu-Hao Lai, Chian C. Ho
A real-time handheld indoor positioning device is developed, featuring 2 novel perfectly complementary positioning methods: 1) RFID Heron-bilateration location estimation, based on external RFID infrastructure, and 2) IMU angular-driven navigation reckoning, based on internal IMU module. At first, 2 or multiples of 2 active RFID tags as infrastructure landmarks are deployed along the surrounding walls in a single indoor space or room. After the infrastructure landmarks are set up, the handheld indoor positioning device begins to connect to the Bluetooth-based RFID reader by pairing with Bluetooth ID of the RFID reader. Then, on the screen of the handheld indoor positioning device, red landmarks on the 2D indoor map represents pre-deployed active RFID tags. When moving, the targeted handheld indoor positioning device keeps estimating the relative location through external RFID infrastructure and keeps reckoning the inertial navigation through internal IMU module. Furthermore, this work proposes and develops Kalman-filter drift removal, linear-like RSSI-to-distance transformation, RFID Heron-bilateration location estimation, and IMU angular-driven navigation reckoning, to improve the accuracy and reliability of positioning. Finally, the screen of the handheld indoor positioning device can show the location and orientation indications of the targeted user on the 2D indoor map accurately and immediately.
{"title":"Real-time handheld indoor positioning device based on RFID Heron-bilateration location estimation and IMU angular-driven navigation reckoning","authors":"Zu-Hao Lai, Chian C. Ho","doi":"10.1109/ICCE-TW.2015.7217000","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7217000","url":null,"abstract":"A real-time handheld indoor positioning device is developed, featuring 2 novel perfectly complementary positioning methods: 1) RFID Heron-bilateration location estimation, based on external RFID infrastructure, and 2) IMU angular-driven navigation reckoning, based on internal IMU module. At first, 2 or multiples of 2 active RFID tags as infrastructure landmarks are deployed along the surrounding walls in a single indoor space or room. After the infrastructure landmarks are set up, the handheld indoor positioning device begins to connect to the Bluetooth-based RFID reader by pairing with Bluetooth ID of the RFID reader. Then, on the screen of the handheld indoor positioning device, red landmarks on the 2D indoor map represents pre-deployed active RFID tags. When moving, the targeted handheld indoor positioning device keeps estimating the relative location through external RFID infrastructure and keeps reckoning the inertial navigation through internal IMU module. Furthermore, this work proposes and develops Kalman-filter drift removal, linear-like RSSI-to-distance transformation, RFID Heron-bilateration location estimation, and IMU angular-driven navigation reckoning, to improve the accuracy and reliability of positioning. Finally, the screen of the handheld indoor positioning device can show the location and orientation indications of the targeted user on the 2D indoor map accurately and immediately.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115015704","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}
Pub Date : 2015-06-06DOI: 10.1109/ICCE-TW.2015.7217044
Yi-Hsin Yu, Sheng-Fu Chen, Chih-Sheng Huang, L. Ko, Chin-Teng Lin
A portable and wireless electroencephalography (EEG) device was proposed in this study. The device had following features: (1) the use of dry and flexible electrodes made the device resilient and repetitively used on forehead without conductive gel; (2) the device was small and low power consumption which provided more comfortable wearing. It provided ordinary wireless (Bluetooth) protocol and memory cards to record EEG data. All electronic components were embedded into a portable mechanism conveniently. The device had past Electro Magnetic Compatibility (EMC), Federal Communications Commission (FCC) certifications. (3) EEG data was stored as EDF format compatible with popular EEG analysis tools. This device was good for sleeping study in general. A particular EEG signal Apps could analyze the EEG raw data and provided the sleep quality report in details.
本研究提出一种便携式无线脑电图仪。该装置具有以下特点:(1)使用干燥和柔性电极，使装置具有弹性，无需导电凝胶即可在额头上重复使用;(2)装置体积小，功耗低，佩戴更舒适。它提供了普通的无线(蓝牙)协议和存储卡来记录脑电图数据。所有的电子元件都被方便地嵌入到一个便携式机构中。该设备已通过EMC (Electro Magnetic Compatibility)和FCC (Federal Communications Commission)认证。(3)脑电数据以EDF格式存储，与流行的脑电分析工具兼容。一般来说，这个装置对睡眠学习很好。特定的脑电图信号应用程序可以分析脑电图原始数据，并提供详细的睡眠质量报告。
{"title":"Portable and wireless EEG device used in sleep quality tracking","authors":"Yi-Hsin Yu, Sheng-Fu Chen, Chih-Sheng Huang, L. Ko, Chin-Teng Lin","doi":"10.1109/ICCE-TW.2015.7217044","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7217044","url":null,"abstract":"A portable and wireless electroencephalography (EEG) device was proposed in this study. The device had following features: (1) the use of dry and flexible electrodes made the device resilient and repetitively used on forehead without conductive gel; (2) the device was small and low power consumption which provided more comfortable wearing. It provided ordinary wireless (Bluetooth) protocol and memory cards to record EEG data. All electronic components were embedded into a portable mechanism conveniently. The device had past Electro Magnetic Compatibility (EMC), Federal Communications Commission (FCC) certifications. (3) EEG data was stored as EDF format compatible with popular EEG analysis tools. This device was good for sleeping study in general. A particular EEG signal Apps could analyze the EEG raw data and provided the sleep quality report in details.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116765079","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}
Pub Date : 2015-06-06DOI: 10.1109/ICCE-TW.2015.7216859
M. Hussain, A. W. Wahab, N. B. Anuar, R. Salleh, R. M. Noor
Steganography is the science of secret data communication using carrier medium, such as images, videos, text, and networks. Image steganography is majorly divided into spatial and frequency domains. Pixel value differencing (PVD) considered as good steganographic algorithm due to its high payload and good visual perception in spatial domain. The purpose of this paper is two folded. First is the critical analysis of current PVD methods using evaluating parameters (payload, visual quality and resistance of attacks) and secondly it highlights the current promising directions on PVD steganographic research.
{"title":"Pixel value differencing steganography techniques: Analysis and open challenge","authors":"M. Hussain, A. W. Wahab, N. B. Anuar, R. Salleh, R. M. Noor","doi":"10.1109/ICCE-TW.2015.7216859","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7216859","url":null,"abstract":"Steganography is the science of secret data communication using carrier medium, such as images, videos, text, and networks. Image steganography is majorly divided into spatial and frequency domains. Pixel value differencing (PVD) considered as good steganographic algorithm due to its high payload and good visual perception in spatial domain. The purpose of this paper is two folded. First is the critical analysis of current PVD methods using evaluating parameters (payload, visual quality and resistance of attacks) and secondly it highlights the current promising directions on PVD steganographic research.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115497616","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}
The current study describes a technique for reconstructing a three dimensional surface from multiple images of the (single camera) endoscopic video. A 3D shape of the scene in each image frame of the endoscopic video was reconstructed using shape from shading technique. The characteristic feature points on the 2D images were detected using SURF algorithm and the features were matched using BRIEF and Hamming distance criteria. The matched feature points between the consecutive frames were used to find the transformation matrix to align the 3D surfaces of the consecutive video frames. Using the transformation matrix, the 3D surfaces were stitched (registered) together. The method was applied on a recorded video of the laparoscopic surgery. The reconstructed surface provides a wider view and depth information to the viewers.
{"title":"Surface reconstruction from endoscopic image sequence","authors":"Atul Kumar, Yen-Yu Wang, Kai-Che Liu, Wan-Chi Hung, Shih-Wei Huang, W. Lie, Ching-Chun Huang","doi":"10.1109/ICCE-TW.2015.7216967","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7216967","url":null,"abstract":"The current study describes a technique for reconstructing a three dimensional surface from multiple images of the (single camera) endoscopic video. A 3D shape of the scene in each image frame of the endoscopic video was reconstructed using shape from shading technique. The characteristic feature points on the 2D images were detected using SURF algorithm and the features were matched using BRIEF and Hamming distance criteria. The matched feature points between the consecutive frames were used to find the transformation matrix to align the 3D surfaces of the consecutive video frames. Using the transformation matrix, the 3D surfaces were stitched (registered) together. The method was applied on a recorded video of the laparoscopic surgery. The reconstructed surface provides a wider view and depth information to the viewers.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121631648","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}
Pub Date : 2015-06-06DOI: 10.1109/ICCE-TW.2015.7216809
Yu-Wen Liu, Chen-Yi Lin, Jiun-Long Huang
Live streaming services have been developed prosperously in recent years. With live streaming services, broadcasters broadcast their videos to attract large numbers of viewers to watch. Some live streaming services also provide a platform for viewers gathering together to watch channels and interact with others. Over hundreds of videos broadcast every day, recommending channels are necessary to help viewers finding channels of interests. In this paper, we propose the hybrid HITS algorithm for Channel Recommendation (HyHITS_CR) which adopts the HITS algorithm with modification to utilize the follower-followee relationship on channel recommendation. Besides, we also observe from real logs that some viewers may focus on few particular channels. Thus, HyHITS_CR also takes advantage on such observation to further improve the accuracy of recommendation. Experimental results show that the hit rate of HyHITS_CR is around 10% higher than other prior algorithms.
{"title":"Live streaming channel recommendation using HITS algorithm","authors":"Yu-Wen Liu, Chen-Yi Lin, Jiun-Long Huang","doi":"10.1109/ICCE-TW.2015.7216809","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7216809","url":null,"abstract":"Live streaming services have been developed prosperously in recent years. With live streaming services, broadcasters broadcast their videos to attract large numbers of viewers to watch. Some live streaming services also provide a platform for viewers gathering together to watch channels and interact with others. Over hundreds of videos broadcast every day, recommending channels are necessary to help viewers finding channels of interests. In this paper, we propose the hybrid HITS algorithm for Channel Recommendation (HyHITS_CR) which adopts the HITS algorithm with modification to utilize the follower-followee relationship on channel recommendation. Besides, we also observe from real logs that some viewers may focus on few particular channels. Thus, HyHITS_CR also takes advantage on such observation to further improve the accuracy of recommendation. Experimental results show that the hit rate of HyHITS_CR is around 10% higher than other prior algorithms.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123641725","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}
The paper presents a novel scheme that uses a projector to project a corrected CT image on the craniofacial surface for augmented reality visualization. The deformation of the projected image due to curved surface can be successful recovered via homography projection correction. The experimental result that shows the superior performance of this work is also included.
{"title":"Medical augmented reality for craniofacial application using surface deformation correction","authors":"Hao-Che Lee, Jiann-Der Lee, Shin-Tseng Lee, Chieh-Tsai Wu","doi":"10.1109/ICCE-TW.2015.7216873","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7216873","url":null,"abstract":"The paper presents a novel scheme that uses a projector to project a corrected CT image on the craniofacial surface for augmented reality visualization. The deformation of the projected image due to curved surface can be successful recovered via homography projection correction. The experimental result that shows the superior performance of this work is also included.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125067002","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}
Pub Date : 2015-06-06DOI: 10.1109/ICCE-TW.2015.7216999
C. Yeh, Pin-Hsian Liu, Cheng-En Yu, Chih-Yang Lin
There are many outdoor vision applications such as surveillance and navigation. One of the challenges is rain removal, especially the rain removal from a single image. In this paper, a single rain image is divided into the high frequency part and the low frequency part by the Gaussian filter. Non-negative matrix factorization (NMF) is used to remove the rain streaks in the low frequency part. Then, Canny edge detection is applied to deal with the rain in the high frequency and the block copy method is employed to preserve the image quality. After that, we applied a rain dictionary to further divide the high frequency into rain and non-rain parts. The experimental results show that the proposed method is better than the state-of-the-art methods, especially in the high frequency part.
{"title":"Single image rain removal based on part-based model","authors":"C. Yeh, Pin-Hsian Liu, Cheng-En Yu, Chih-Yang Lin","doi":"10.1109/ICCE-TW.2015.7216999","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7216999","url":null,"abstract":"There are many outdoor vision applications such as surveillance and navigation. One of the challenges is rain removal, especially the rain removal from a single image. In this paper, a single rain image is divided into the high frequency part and the low frequency part by the Gaussian filter. Non-negative matrix factorization (NMF) is used to remove the rain streaks in the low frequency part. Then, Canny edge detection is applied to deal with the rain in the high frequency and the block copy method is employed to preserve the image quality. After that, we applied a rain dictionary to further divide the high frequency into rain and non-rain parts. The experimental results show that the proposed method is better than the state-of-the-art methods, especially in the high frequency part.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125493001","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}
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