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Spatial-Semantic Image Search by Visual Feature Synthesis
Spatial-Semantic Image Search by Visual Feature Synthesis Long Mai1, Hailin Jin2, Zhe Lin2, Chen Fang2, Jonathan Brandt2, and Feng Liu1 1Portland State University 2Adobe Research 1 2 {mtlong,fliu}@cs.pdx.com, {hljin,zlin,cfang,jbrandt}@adobe.com Person Surfboard Water Text-based query a) Image search with semantic constraints only Person Water Surfboard Person Water Surfboard Spatial-semantic query b) Image search with spatial-semantic constraints Figure 1: Spatial-semantic image search. (a) Searching with content-only queries such as text keywords, while effective in retrieving relevant content, is unable to incorporate detailed spatial intents. (b) Spatial-semantic image search allows users to interact with the 2-D canvas to express their search intent both spatially and semantically. Abstract 1. Introduction Image retrieval is essential for various applications, such The performance of image retrieval has been improved as browsing photo collections [6, 52], exploring large visual tremendously in recent years through the use of deep fea- data archives [15, 16, 38, 43], and online shopping [26, 37]. ture representations. Most existing methods, however, aim It has long been an active research topic with a rich literature to retrieve images that are visually similar or semantically in computer vision and multimedia [8, 30, 55, 56, 57]. In relevant to the query, irrespective of spatial configuration. recent years, advances in research on deep feature learning In this paper, we develop a spatial-semantic image search have led to effective image and query representations that technology that enables users to search for images with are shown effective for retrieving images that are visually both semantic and spatial constraints by manipulating con- similar or semantically relevant to the query [12, 14, 25, 53]. -
Religion in China BKGA 85 Religion Inchina and Bernhard Scheid Edited by Max Deeg Major Concepts and Minority Positions MAX DEEG, BERNHARD SCHEID (EDS.)
Religions of foreign origin have shaped Chinese cultural history much stronger than generally assumed and continue to have impact on Chinese society in varying regional degrees. The essays collected in the present volume put a special emphasis on these “foreign” and less familiar aspects of Chinese religion. Apart from an introductory article on Daoism (the BKGA 85 BKGA Religion in China prototypical autochthonous religion of China), the volume reflects China’s encounter with religions of the so-called Western Regions, starting from the adoption of Indian Buddhism to early settlements of religious minorities from the Near East (Islam, Christianity, and Judaism) and the early modern debates between Confucians and Christian missionaries. Contemporary Major Concepts and religious minorities, their specific social problems, and their regional diversities are discussed in the cases of Abrahamitic traditions in China. The volume therefore contributes to our understanding of most recent and Minority Positions potentially violent religio-political phenomena such as, for instance, Islamist movements in the People’s Republic of China. Religion in China Religion ∙ Max DEEG is Professor of Buddhist Studies at the University of Cardiff. His research interests include in particular Buddhist narratives and their roles for the construction of identity in premodern Buddhist communities. Bernhard SCHEID is a senior research fellow at the Austrian Academy of Sciences. His research focuses on the history of Japanese religions and the interaction of Buddhism with local religions, in particular with Japanese Shintō. Max Deeg, Bernhard Scheid (eds.) Deeg, Max Bernhard ISBN 978-3-7001-7759-3 Edited by Max Deeg and Bernhard Scheid Printed and bound in the EU SBph 862 MAX DEEG, BERNHARD SCHEID (EDS.) RELIGION IN CHINA: MAJOR CONCEPTS AND MINORITY POSITIONS ÖSTERREICHISCHE AKADEMIE DER WISSENSCHAFTEN PHILOSOPHISCH-HISTORISCHE KLASSE SITZUNGSBERICHTE, 862. -
Image Retrieval Within Augmented Reality
Image Retrieval within Augmented Reality Philip Manja May 5, 2017 Technische Universität Dresden Fakultät Informatik Institut für Software und Multimediatechnik Professur für Multimedia-Technologie Master’s Thesis Image Retrieval within Augmented Reality Philip Manja 1. Reviewer Prof. Raimund Dachselt Fakultät Informatik Technische Universität Dresden 2. Reviewer Dr. Annett Mitschick Fakultät Informatik Technische Universität Dresden Supervisors Dr. Annett Mitschick and Wolfgang Büschel (M.Sc.) May 5, 2017 Philip Manja Image Retrieval within Augmented Reality Master’s Thesis, May 5, 2017 Reviewers: Prof. Raimund Dachselt and Dr. Annett Mitschick Supervisors: Dr. Annett Mitschick and Wolfgang Büschel (M.Sc.) Technische Universität Dresden Professur für Multimedia-Technologie Institut für Software und Multimediatechnik Fakultät Informatik Nöthnitzer Straße 46 01187 Dresden Abstract The present work investigates the potential of augmented reality for improving the image retrieval process. Design and usability challenges were identified for both fields of research in order to formulate design goals for the development of concepts. A taxonomy for image retrieval within augmented reality was elaborated based on research work and used to structure related work and basic ideas for interaction. Based on the taxonomy, application scenarios were formulated as further requirements for concepts. Using the basic interaction ideas and the requirements, two comprehensive concepts for image retrieval within augmented reality were elaborated. One of the concepts was implemented using a Microsoft HoloLens and evaluated in a user study. The study showed that the concept was rated generally positive by the users and provided insight in different spatial behavior and search strategies when practicing image retrieval in augmented reality. Abstract (deutsch) Die vorliegende Arbeit untersucht das Potenzial von Augmented Reality zur Verbes- serung von Image Retrieval Prozessen. -
Bibliographie
Bibliographie 1. Das Schrifttum von Wu Leichuan WU LEI-CH’UAN bzw. WU CHEN-CH’UN (WU ZHENCHUN), Pseudonym HUAI XIN Die englischen Titel in Klammern stammen aus den Originalausgaben, wo sich oft (aber nicht immer) ein chinesisches und ein englisches Inhaltsverzeichnis findet. Die Numerierung und Paginierung von SM, ZL und ZLYSM ist in den Originalausgaben, die dem Verfasser nur in Kopien vorlagen, nicht konsistent und oft nur schwer les- bar. Die Beiträge sind chronologisch geordnet. 1918 „Shu xin“ , in: Zhonghua jidujiaohui nianjian 5 (1918), S. 217-221. 1920 „Lizhi yu jidujiao“ (Confucian Rites and Christianity), in: SM 1 (1920), No. 2, S. 1-6. 1920 „Wo duiyu jidujiaohui de ganxiang“ (Problems of the Christian Church in China. A Statement of Religious Experience), in: SM 1 (1920), No. 4, S. 1-4. 1920 „Wo yong hefa du shengjing? Wo weihe du shengjing?“ , in: SM 1 (1920), No. 6, S. 1. 1920 „Wo suo xinyang de Yesu Jidu“ , in: SM 1 (1920), No. 9 und 10. 1921 „What the Chinese Are Thinking about Christianity“. Transl. by T.C. Chao, in: CR (February 1921), S. 97-102. 1923 „Jidujiao jing yu rujiao jing“ , in: SM 3 (1923), No. 6, S. 1- 6. Abgedruckt in Zhang Xiping und Zhuo Xinping (Hrsg.) 1999, S. 459-465. 1923 „Wo geren de zongjiao jingyan“ (My Personal Religious Experience), in: SM 3 (1923), No. 7-8, S. 1-3. 1923 „Lun Zhongguo jidujiaohui de qiantu“ , in: ZL 10. Juni 1923, No. 11. Abgedruckt in Zhang Xiping und Zhuo Xinping (Hrsg.) 1999, S. 333-336. 1923 „Jidutu jiuguo“ , in: ZL 1 (1923), No. -
IEEE Paper Template in A4
International Journal for Research in Advanced Computer Science and Engineering ISSN: 2208-2107 Image Search Engine of Mono Image Asmaa Salah Aldin Ibrahim1, Mohammed Ali Mohammed2 ¹Baghdad College of Economic Sciences University, Iraq ²University of Information Technology and Communication, Iraq Abstract— In recent year, images are widely used in many applications, such as facebook, snapchat. The large numbers of these images are saved in the smart system to easy access and retrieve. This paper aims to design and implement the new algorithm which is used in search of images. The mono image (black and white) is used as input data to the proposed algorithm. The methodology of this paper is to split image into number of block (block size = 8*8). For each block set 1 or 0 in order to count the number of black and white pixels. Finally, the result compare with other image dataset with the threshold value. The result show's that the proposed algorithm is successful passed in tested stage. Keywords— Image processing, Search Image, Mono Image, Search by Image. I. INTRODUCTION Describe the automatic selection of features from an image training set were done by using the theories of multidimensional discriminant analysis and the associated optimal linear projection. The demonstration of the effectiveness of these most discriminating features for view-based class retrieval from a large database of widely varying real-world objects presented as "well-framed" views, and compared with that of the principal component analysis[1]. An image retrieval system contains a database with a large number of images. The system retrieves images from the database are similar to a query image entered by the user. -
Image Based Search Engine
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 05 | May 2020 www.irjet.net p-ISSN: 2395-0072 Image based Search Engine Anjali Sharma1, Bhanu Parasher1 1M.Tech., Computer Science and Engineering, Indraprastha Institute of Information Technology, Delhi, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - We can see that different kinds of data are CNN model to resolve the problem of similar cloth retrieval floating on the internet from the last couple of years. It and clothing-related problems. As the dataset is large, a fine- includes audio, video, images, and text data. Processing of all tuned, pre-trained model is used to lower the complexity these data has been a key interest point for Researchers. To between training and transfer learning. Domain transfer effectively utilize these data, we want to explore more about it. learning helps in fine-tuning the main idea behind is reusing As it is said, an image speaks more than a thousand words, so the low-level and midlevel network across domains. In paper here in this article, we are working on images. Many [5] (Venkata and Yadav, 2012), the author proposed a researchers showed their interest in Content-based image method of image classification based on two features. First retrieval (CBIR). CBIR doesn't work on the metadata, for is edge detection using the Sobel edge detection filter. The example, tags, image description, etc. However, it works on the second feature is the colour of an image for which the author details of the images, or we can say the features of the images, used CCV. -
Study in Taiwan - 7% Rich and Colorful Culture - 15% in Taiwan, Ancient Chinese Culture Is Uniquely Interwoven No.7 in the Fabric of Modern Society
Le ar ni ng pl us a d v e n t u r e Study in Foundation for International Cooperation in Higher Education of Taiwan (FICHET) Address: Room 202, No.5, Lane 199, Kinghua Street, Taipei City, Taiwan 10650, R.O.C. Taiwan Website: www.fichet.org.tw Tel: +886-2-23222280 Fax: +886-2-23222528 Ministry of Education, R.O.C. Address: No.5, ZhongShan South Road, Taipei, Taiwan 10051, R.O.C. Website: www.edu.tw www.studyintaiwan.org S t u d y n i T a i w a n FICHET: Your all – inclusive information source for studying in Taiwan FICHET (The Foundation for International Cooperation in Higher Education of Taiwan) is a Non-Profit Organization founded in 2005. It currently has 114 member universities. Tel: +886-2-23222280 Fax: +886-2-23222528 E-mail: [email protected] www.fichet.org.tw 加工:封面全面上霧P 局部上亮光 Why Taiwan? International Students’ Perspectives / Reasons Why Taiwan?1 Why Taiwan? Taiwan has an outstanding higher education system that provides opportunities for international students to study a wide variety of subjects, ranging from Chinese language and history to tropical agriculture and forestry, genetic engineering, business, semi-conductors and more. Chinese culture holds education and scholarship in high regard, and nowhere is this truer than in Taiwan. In Taiwan you will experience a vibrant, modern society rooted in one of world’s most venerable cultures, and populated by some of the most friendly and hospitable people on the planet. A great education can lead to a great future. What are you waiting for? Come to Taiwan and fulfill your dreams. -
Poster Session I
Poster Session I 15:10~16:00, June 23 (Friday), 1st and 2nd floors International Conference Hall (Poster # PA-1~PA-16; PB-1~PB-5; PC-1~PC-5; PD-1~PD-12; PE-1~PE-8; PF-1~PF-6; PG-1~PG-5, PH-1~PH-4) Topic A: Agro-biotechnology and Natural products PA-1: Inhibitory effects of Siegesbeckia orientalis extracts on angiotensin converting enzyme Ci Luo1, Yi-Chen Lee2, Chi-Chang Chang3, Hsia-Fen Hsu1 and Jer-Yiing Houng1,4,, 1Department of Nutrition, I- Shou University, Kaohsiung City, Taiwan 2 Department of Nutrition Therapy, E-Da Hospital, Kaohsiung City, Taiwa n 3 Department of Obstetrics & Gynecology, E-Da Da-Chang Hospital/I-Shou University, Kaohsiung City, Taiwa n 4 Department of Chemical Engineering, I-Shou University, Kaohsiung City, Taiwan Email: [email protected] Project no: ISU-104-IUC-01, MOST# 104-2221-E-214-046 PA-2: Biological activity of Cistanche deserticola Extract Shu-Ting Yang1,2, Chun-Sheng Hang1,3*, 1 Biotechnology, Southern Taiwan University of Science and Technology, Tainan, Taiwan 2 Email: [email protected] * Email: [email protected] * Advisor PA-3: Influence of alternating current electric field (ACEF) processing on the organization fission of tomato Ting-Wei Hsu1, Jia-Zhen Zhuang1, Chi-En Liu1, Chao Kai Chang2, Po-Hsien Li1 and Chang-Wei Hsieh3* 1Department of Medicinal Botanicals and Health Applications, Da-Yeh University, 168 University Rd, Dacun, Chang-Hua, Taiwan, Republic of China. 2College of Biotechnology and Bioresources, Da-Yeh University, 168 University Rd., Dacun,Chang-Hua, Taiwan, Republic of China. -
DT-S PDM LN199-91 Chinese China Trends of Qigong Research At
Approved For Release 2001/03/07 : CIA-RDP96-00792R000200650023-0 DEf:'-ENSE INTELLIGENCE AGENCY WASHINGTON. O. C. 20301 TRANSLA TION REQUESTER TRANSLATOR'S INITIALS TRANSLATION NUMBER F.NCLlS) TO I R NO. DT-S PDM LN199-91 LANGUAGE GEOGRAPHIC AREA (11 dlflerent t,om place ot publl chinese China ENGLISH TITLE OF TRANSLATION AGE NOS. TRANSLATED FROM ORIG DOC. Trends of Qigong Research at Home the paat ten years 22 pages FOREIGN TITLE OF TRANSLATION SG6A AUTHOR IS) FOREIGN TITLE OF DOCUMENT (Complete only if dif{erent Irom title 01 translation) Bejing TImmunity Research Center. Beijing PUBLISHER DATE AND PLACE OF PUBLICATION COMMENTS TRANSLATION DIA FORM Almr-AM ease 2001/03/07 : CIA-RDP96-00792R000200650023-0 This document is made available through the declassification efforts and research of John Greenewald, Jr., creator of: The Black Vault The Black Vault is the largest online Freedom of Information Act (FOIA) document clearinghouse in the world. The research efforts here are responsible for the declassification of hundreds of thousands of pages released by the U.S. Government & Military. Discover the Truth at: http://www.theblackvault.com Approved For Release 2001/03/07 : CIA-RDP96-00792R000200650023-0 Trends of Qigong Research at Home and Abroad in the Past Ten Years Beijing Immunity Research Center, Beijing. Approved For Release 2001/03/07 : CIA-RDP96-00792R000200650023-0 Approved For Release 2001/03/07 : CIA-RDP96-00792R000200650023-0 LN199-91 Trends of Qigong Research at Home and Abroad in the Past Ten Years Development of Qi9:on!l-.!.~,:!g"!~~".J:llHt~~p~,s.t ten years from 1_~.29 to 1988 ha§__ ~~~__ :t::l_l}p'!,~9..edented l.n Ql.gong history. -
This Entire Document
BASE BALL, TRAP SHOOTING AND GENERAL SPORTS Volume 50, No. 17. Philadelphia, January 4, 1908. Price, Five Cents. __/ ^^-p^BS^^ / 5CMPOWCRS i GFOMMAXWELL ANTJAAY 4, I9O8J for illegally conducting a saloon in this catcher Cliff Blank/fenship, of the Washing city. "Breit" was taken into custody on ton Club, up for a like period. This is food December 23 by the sheriff. He was re enough for thought! and ball men are frank leased immediately on his own recognizance, to admit that there will be trouble ahead but will have to stand trial. Breitenstein if the Pacific Coast League directors are has been conducting a thirst emporium not up and doing. Some months ago it was here since the Southern League season reported that the (putlaw league was gradu NEW YORK STATE LEAGUE©S closed. He was warned two or three times ally growing. It looks now as though the by friends that he was placing himself in a time is fast arriving when the National NEXT MEET, precarious position by not heeding the Commission will Have to take a most de laws of the state, but refused to be warned. cisive stand or else the -Coast League will His arrest followed. He realizes now that be forced to abandon organized ball and go he is in bad and said today that if he got back to outlawry. The Disposition of the A* J* G* out of this scrajpe he would certainly lead The National Commission Unani the simple life in the future. He is going to play ball in New Orleans again next sea THE XRI-STATE LEAGUE Franchise the Important Matter son, but hasn©t signed his contract as yet. -
A Digital Libraries System Based on Multi-Level Agents
A Digital Libraries System based on Multi-level Agents Kamel Hamard1, Jian-Yun Nie1, Gregor v. Bochmann2, Robert Godin3, Brigitte Kerhervé3, T. Radhakrishnan4, Rajjan Shinghal4, James Turner5, Fadi Berouti6, F.P. Ferrie6 1. Dept. IRO, Université de Montréal 2. SITE, University of Ottawa 3. Dept. Informatique, Univ. du Québec à Montréal 4. Dept. Of Computer science, Concordia University 5. Dept. de bibliothéconomie et science d’information, Université de Montréal 6. Center for Intelligent Machines, McGill University Abstract In this paper, we describe an agent-based architecture for digital library (DL) systems and its implementation. This architecture is inspired from Harvest and UMDL, but several extensions have been made. The most important extension concerns the building of multi-level indexing and cataloguing. Search agents are either local or global. A global search agent interacts with other agents of the system, and manages a set of local search agents. We extended the Z39.50 standard in order to support the visual characteristics of images and we also integrated agents for multilingual retrieval. This work shows that the agent-based architecture is flexible enough to integrate various kinds of agents and services in a single system. 1. Introduction In recent years, many studies have been carried out on Digital Libraries (DL). These studies have focused on the following points: • the description of digital objects • organization and processing of multimedia data • user interface • scalability of the system • interoperability • extensibility UMDL and Harvest are two examples of such systems. Although not specifically designed for DL, Harvest [Bowman 94] proposes an interesting architecture for distributed DL system. -
Web Image Retrieval Re-Ranking with Relevance Model
Web Image Retrieval Re-Ranking with Relevance Model Wei-Hao Lin, Rong Jin, Alexander Hauptmann Language Technologies Institute School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213 U.S.A {whlin,rong,alex}@cs.cmu.edu Abstract web search engines (e.g. Google Image Search [10], Al- taVista Image [1], specialized web image search engines Web image retrieval is a challenging task that requires (e.g. Ditto [8], PicSearch [18]), and web interfaces to com- efforts from image processing, link structure analysis, and mercial image providers (e.g. Getty Images [9], Corbis [6]). web text retrieval. Since content-based image retrieval is Although capability and coverage vary from system to still considered very difficult, most current large-scale web system, we can categorize the web image search engines image search engines exploit text and link structure to “un- into three flavors in terms of how images are indexed. The derstand” the content of the web images. However, lo- first one is text-based index. The representation of the im- cal text information, such as caption, filenames and adja- age includes filename, caption, surrounding text, and text cent text, is not always reliable and informative. Therefore, in the HTML document that displays the image. The sec- global information should be taken into account when a ond one is image-based index. The image is represented in web image retrieval system makes relevance judgment. In visual features such as color, texture, and shape. The third this paper, we propose a re-ranking method to improve web one is hybrid of text and image index.