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Multilingual Information Access for Text, Speech and Images
This book constitutes the thoroughly refereed postproceedings of the 5th Workshop of the Cross-Language Evaluation Forum, CLEF 2004, held in Bath, UK in September 2004. The 80 revised papers presented together with an introduction were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on ad hoc text retrieval tracks (mainly cross-language experiments and monolingual experiments), domain-specific document retrieval, interactive cross-language information retrieval, multiple language question answering, cross-language retrieval in image collections, cross-language spoken document retrieval, and on issues in CLIR and in evaluation.
Image and Video Retrieval
Here are the refereed proceedings of the 5th International Conference on Image and Video Retrieval, CIVR 2006, held in Singapore in July 2006. Presents 18 revised full papers and 30 poster papers, together with extended abstracts of 5 papers of 1 special session and those of 10 demonstration papers. These cover interactive image and video retrieval, semantic image retrieval, visual feature analysis, learning and classification, image and video retrieval metrics, and machine tagging.
Advanced Topics in Information Retrieval
Information retrieval is the science concerned with the effective and efficient retrieval of documents starting from their semantic content. It is employed to fulfill some information need from a large number of digital documents. Given the ever-growing amount of documents available and the heterogeneous data structures used for storage, information retrieval has recently faced and tackled novel applications. In this book, Melucci and Baeza-Yates present a wide-spectrum illustration of recent research results in advanced areas related to information retrieval. Readers will find chapters on e.g. aggregated search, digital advertising, digital libraries, discovery of spam and opinions, informa...
Image and Video Retrieval
It was our great pleasure to host the 4th International Conference on Image and Video Retrieval (CIVR) at the National University of Singapore on 20–22 July 2005. CIVR aims to provide an international forum for the discussion of research challenges and exchange of ideas among researchers and practitioners in image/video retrieval technologies. It addresses innovative research in the broad ?eld of image and video retrieval. A unique feature of this conference is the high level of participation by researchers from both academia and industry. Another unique feature of CIVR this year was in its format – it o?ered both the traditional oral presentation sessions, as well as the short presentat...
Image and Video Retrieval
Welcome to the 2nd International Conference on Image and Video Retrieval, CIVR2003. The goal of CIVR is to illuminate the state of the art in visual information retrieval and to stimulate collaboration between researchers and practitioners. This year we received 110 submissions from 26 countries. Based upon the reviews of at least 3 members of the program committee, 43 papers were accepted for the research track of the conference. First, we would like to thank all of the members of the Program Committee and the additional referees listed below. Their reviews of the submissions played a pivotal role in the quality of the conference. Moreover,we are grateful to Nicu Sebe and Xiang Zhou for hel...
Adaptive Multimedia Retrieval: User, Context, and Feedback
This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Adaptive Multimedia Retrieval, held in September 2005. The 18 revised full papers presented were carefully selected during two rounds of reviewing and improvement. Also included are three invited papers by leading researchers in the area to illustrate the core topics of the workshop: User, Context and Feedback. The papers are organized in topical sections on ranking, systems, spatio-temporal relations, using feedback, using context, and meta data.
Information Retrieval
This book is an essential reference to cutting-edge issues and future directions in information retrieval Information retrieval (IR) can be defined as the process of representing, managing, searching, retrieving, and presenting information. Good IR involves understanding information needs and interests, developing an effective search technique, system, presentation, distribution and delivery. The increased use of the Web and wider availability of information in this environment led to the development of Web search engines. This change has brought fresh challenges to a wider variety of users’ needs, tasks, and types of information. Today, search engines are seen in enterprises, on laptops, ...
Emergent Web Intelligence: Advanced Information Retrieval
This volume reviews cutting-edge technologies and insights related to XML-based and multimedia information access and data retrieval. And by applying new techniques to real-world scenarios, it details how organizations can gain competitive advantages.
Overconfident
Overconfident: How Economic and Health Fault Lines Left the Middle East and North Africa Ill-Prepared to Face COVID This report examines the region’s economic prospects in 2021, forecasting that the recovery will be both tenuous and uneven as per capita GDP level stays below pre-pandemic levels. COVID-19 was a stress-test for the region’s public health systems, which were already overwhelmed even before the pandemic. Indeed, a decade of lackluster economic reforms left a legacy of large public sectors and high public debt that effectively crowded out investments in social services such as public health. This edition points out that the region’s health systems were not only ill-prepared for the pandemic, but suffered from over-confidence, as authorities painted an overly optimistic picture in self-assessments of health system preparedness. Going forward, governments must improve data transparency for public health and undertake reforms to remedy historical underinvestment in public health systems.
Multimedia Information Retrieval
At its very core multimedia information retrieval means the process of searching for and finding multimedia documents; the corresponding research field is concerned with building the best possible multimedia search engines. The intriguing bit here is that the query itself can be a multimedia excerpt: For example, when you walk around in an unknown place and stumble across an interesting landmark, would it not be great if you could just take a picture with your mobile phone and send it to a service that finds a similar picture in a database and tells you more about the building -- and about its significance, for that matter? This book goes further by examining the full matrix of a variety of ...
