1、国际会议英文主持词国际会议英文主持词【篇一：国际会议主持词 英语口语】 ladies and gentlemen: good afternoon welcome to nanjing! welcome to southeast university! im going to be the host of this management forum. please allow me to extend our warmest congratulations to the conference and the most cordial welcome to you. thank you very
2、much for your attention. management forum is devoted to expanding academic communication, promoting mutual understanding and following the advanced studies. this time, the forum will focus on frontier international management. it includes the frontier trend and the application of new theory. now, le
3、ts clap our hands and welcome the chairman of the conference to have an welcome speech. thank you! its really a heart-warming speech. well, ladies and gentlemen, please allow me to introduce our speaker today, professor cui, and its a great pleasure for me to introduce her to us all. she comes from
4、harvard business college and devoted to the study about frontier management. the topic of her speech is”current management trends and issues”. please join me in welcoming our guest speaker, cui. the next speaker is professor wang. since 1992, he has published nearly 20 papers, of which more than 5 w
5、ere included in journal of management. at present, he is also the regular member of society of business administration, which is the most authoritative international organization in this field. please join me in welcoming professor wang, whose topic is”leadership”. thanks for two professors excellen
6、t reports. do you have any questions? i hope you will participate in the discussion by raising your hands. thanks two professors again for their excellent explanation. and thanks all of you for your attention and your time. i appreciate it very much. but now, im sorry to say that this conference wil
7、l have to stop here. we will invite the next conference organizer to give an speech.【篇二：英文国际会议主持人稿】 opening remarks: distinguished delegates and guests,ladies and gentlemen,its a great privilege for me to start the conference.let me introduce myself first. i am du ruimin from harbin engineering univ
8、ersity. and i am very honored to be the chair person for this mornings session. it is a great pleasure for me to share the chairmanship with professor lee guobin who is harvard university. on behalf of the organizing committee of tcassp , i would like to announce the session open.what we are going t
9、o do this morning is to review the different aspects of signal processing and their current research challenges. we have some of the worlds foremost professors and researchers, people at the forefront of this field. let me introduce our first speaker professor lee guobin, who is the director of info
10、rmation and communication engineering apartment of harvard university.professor lee has published extensively in sci and books on the subject of image, video, and multidimenional signal processing. his presentation is entitled “no-reference perceptual quality assessment of jpeg compressed images”. l
11、ets welcome professor lee thank you, prof. lee. your presentation is very convincing. from your presentation, we know that (-)your speech is indeed very useful, interesting and challengeable. thank you. qa- ok, let me introduce the next speaker prof. dai jia.professor dai jia comes from columbia uni
12、versity who is famous for his study on signal processing theory and methods,and also make its application have a practical significance.our speaker is also co-author of five books and over 40 published articles. as a communications expert, he has been quoted in the seattle times, the chicago tibune
13、and the atlanta journal constitution.now a lot of first-class books on this subject are wrote by professor dai,and today we are very honored to have prof.dai give us a speech entitled “fractional fourier transform and its applications”.lets welcome prof.dai. qa- thank you, prof.dai. your speech is t
14、he absolutely inspiring. we are delighted to be able to share your new specific strategies and techniques. (-)will be greatly cherished by the people present here. now, lets welcome our next speaker, dr. cao qingming.dr.cao qingming is a professor and the chairperson of the electrical engineering de
15、partment at the ohio state university in columbus, ohio.our speaker got his ph.d. in ee at the university of california, berkeley, followed by a series of teaching and research positions at harvard, cambridge university, and princeton.for the past 6 years,he published more than10 papers on journal.p
16、lease join me in welcoming our guest speaker todaydr.cao qingming, whose topic is entitled signal processing for communications and networking. qa- （thank you very much for your worthwhile/ enlightening/informative presentation. lets welcome the next speaker prof. guo xiangchen with warm applause.）p
17、rof.guo xiangchen is from chongqing jiaotong university,who is co-author of five books and over 40 published articles. as a communications expert, he has been quoted in theseattle times, the chicago tibune and the atlanta journal constitution.our speaker has been honored many awards-2013 marconi pri
18、ze paper award and a national book award.today, guo xiangchen will address you on multicast scheduling and resource allocation algorithms for ofdma-based systems: a survey. lets welcome prof.guo xiangchen. qa- prof.guo xiangchens speech is highly useful, interesting and informative. we have learnt a
19、 lot from him. thank you again, prof.guo xiangchen. qa ladies and gentlemen, our distinguished guest speakers have finished their presentations. we now enter into discussion and share with each other our different ideas. i hope that all here present will feel free to express your ideas and exchange
20、various opinions, so as to make this discussion a real success. yes, the young man in the second row, please. closing speech: id like to pay my tribute to the speakers for their excellent presentations and the audience for their attention this morning. i declare the plenary session adjourned until 1
21、2 a.m.【篇三：英文国际会议讲稿】 ppt(1) 大家上午好！今天我汇报的主题是：基于改进型lbp算法的运动目标检测系统。运动目标检测技术能降低视频监控的人力成本，提高监控效率，同时也是运动目标提取、跟踪及识别算法的基础。图像信号具有数据量大，实时性要求高等特征。随着算法的复杂度和图像清晰度的提高，需要的处理速度也越来越高。幸运的是，图像处理的固有特性是并行的，尤其是低层和中间层算法。这一特性使这些算法，比较容易在fpga等并行运算器件上实现，今天汇报的主题就是关于改进型lbp算法在硬件上的实现。 good morning everyone. my report is about a mo
22、tion detection system based on improved lbp operator. automatic motion detection can reduce the human cost of video surveillance and improve efficiency ?f?(?)ns?，it is also the fundament of object extraction, tracking and recognition rek?gn?(?)n. in this work, efforts ef?ts were made to establish th
23、e background model which is resistance to the variation of illumination. and our video surveillance system was realized on a fpga based platform. ppt(2) 目前，常用的运动目标检测算法有背景差分法、帧间差分法等。帧间差分法的基本原理是将相邻两帧图像的对应像素点的灰度值进行减法运算，若得到的差值的绝对值大于阈值，则将该点判定为运动点。但是帧间差分检测的结果往往是运动物体的轮廓，无法获得目标的完整形态。 currently, optic flow,
24、background subtraction and inter-frame difference are regard as the three mainstream algorithms to detect moving object. inter-frame difference based method need not model m?dl the background. it detects moving objects based on the frame difference between two continuous frames. the method is easy t
25、o be implemented and can realize real-time detection, but it cannot extract the full shape of the moving objects 6. ppt(3) 在摄像头固定的情况下，背景差分法较为简单，且易于实现。若背景已知，并能提供完整的特征数据，该方法能较准确地检测出运动目标。但在实际的应用中，准确的背景模型很难建立。如果背景模型如果没有很好地适应场景的变化，将大大影响目标检测结果的准确性。像这副图中，背景模型没有及时更新，导致了检测的错误。 the basic principle of backgrou
26、nd removal method is building a background model and providing a classification of the pixels into either foreground or background 3-5. in a complex and dynamic environment, it is difficult to build a robust r?(?)b?st background model. ppt(4) 上述的帧间差分法和背景差分法都是基于灰度的。基于灰度的算法在光照条件改变的情况下，性能会大大地降低，甚至失去作用。
27、 the algorithms we have discussed above are all based on grayscale. in practical applications especially outdoor environment, the grayscales of each pixel are unpredictably shifty because of the variations in the intensity and angle of illumination. ppt(5) 为了解决光照改变带来的基于灰度的算法失效的问题，我们考虑用纹理特征来检测运动目标。而l
28、bp算法是目前最常用的表征纹理特征的算法之一。首先在图像中提取相邻9个像素点的灰度值。然后对9个像素中除中心像素以外的其他8个像素做二值化处理。大于等于中心点像素的，标记为1，小于的则标记为0。最后将中心像素点周围的标记值按统一的顺序排列，得到lbp值，图中计算出的lbp值为10001111。当某区域内所有像素的灰度都同时增大或减小一定的数值时，该区域内的lbp值是不会改变的，这就是lbp对灰度的平移不变特性。它能够很好地解决灰度受光照影响的问题。 in order to solve the above problems, we proposed an improved lbp algorit
29、hm which is resistance to the variations of illumination. local binary pattern (lbp) is widely used in machine vision applications such as face detection, face recognition and moving object detection 9-11. lbp represents a relatively simple yet powerful texture descriptor which can describe the rela
30、tionship of a pixel with its immediate neighborhood. the fundamental of lbp operator is showed in fig 1. the basic version of lbp produces 256 texture patterns based on a 9 pixels neighborhood. the neighboring pixel is set to 1 or 0 according to the grayscale value of the pixel is larger than the va
31、lue of centric pixel or not. for example, in fig1 7 is larger than 6, so the pixel in first row first column is set to 1. arranging the 8 binary numbers in certain order, we get an 8 bits binary number, which is the lbp pattern we need. for example in fig.1, the lbp is 10001111. lbp is tolerant t?l(?)r(?)nt against illumination changing. when the grayscales of pixels in a 9 pixels window are shifted due to illumination changing, the lbp value will keep unchanged. ppt(6) 图中的一些常见的纹理，都能用一些简单的lbp向量表示，对于每个像素快，只需要用一个8比特的lbp值来表
