This book constitutes the refereed proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA 2001, held in Halmstad, Sweden in June 2001. The 51 revised papers presented together with three invited papers were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on face as biometrics; face image processing; speech as biometrics and speech processing; fingerprints as biometrics; gait as biometrics; and hand, signature, and iris as biometrics.

This second volume on a popular topic brings together the works of scholars working on the latest techniques, standards, and emerging deployment on "living in the age of wireless communications and smart vehicular systems." The format of this work centers on four themes: driver and driving environment recognition, telecommunication applications, noise reduction, dialogue in vehicles. Will interest researchers and professionals working in signal processing technologies, next generation vehicle design and networks for mobile platforms.

This unique guide offers you a thorough understanding of multilingual information access (MLIA) and services and related concepts, such as database design, information retrieval, machine translation, and natural language processing. Written for digital library developers, library and information science graduate students, and information professionals serving international information users, this book defines multilingual information access (MLIA) and discusses the importance of enabling international users to access digital collections. Based on a systematic review of the research and development carried out on cross-language information retrieval, machine translation, and case studies of current multilingual digital libraries, the author clearly explains what you need to know about technologies for building MLIA function for digital collections. The book leads you through an examination of Internet language services and tools that are useful for developing multilingual digital libraries and for assisting international users in accessing digital resources. Content is further clarified by two research projects that are presented to demonstrate the application of technologies used to build MLIA functions and multilingual user interfaces. The book concludes with possible strategies for using Internet language services and tools to implement MLIA function for digital collections.

This handbook of computational linguistics, written for academics, graduate students and researchers, provides a state-of-the-art reference to one of the most active and productive fields in linguistics.

This book presents revised versions of the lectures given at the 8th ELSNET European Summer School on Language and Speech Communication held on the Island of Chios, Greece, in summer 2000. Besides an introductory survey, the book presents lectures on data analysis for multimedia libraries, pronunciation modeling for large vocabulary speech recognition, statistical language modeling, very large scale information retrieval, reduction of information variation in text, and a concluding chapter on open questions in research for linguistics in information access. The book gives newcomers to language and speech communication a clear overview of the main technologies and problems in the area. Researchers and professionals active in the area will appreciate the book as a concise review of the technologies used in text- and speech-triggered information access.

Topic Detection and Tracking: Event-based Information Organization brings together in one place state-of-the-art research in Topic Detection and Tracking (TDT). This collection of technical papers from leading researchers in the field not only provides several chapters devoted to the research program and its evaluation paradigm, but also presents the most current research results and describes some of the remaining open challenges. Topic Detection and Tracking: Event-based Information Organization is an excellent reference for researchers and practitioners in a variety of fields related to TDT, including information retrieval, automatic speech recognition, machine learning, and information extraction.

Multimodal Video Characterization and Summarization is a valuable research tool for both professionals and academicians working in the video field. This book describes the methodology for using multimodal audio, image, and text technology to characterize video content. This new and groundbreaking science has led to many advances in video understanding, such as the development of a video summary. Applications and methodology for creating video summaries are described, as well as user-studies for evaluation and testing.

Publisher description

One of the challenges brought on by the digital revolution of the recent decades is the mechanism by which information carried by texts can be extracted in order to access its contents. The processing of named entities remains a very active area of research, which plays a central role in natural language processing technologies and their applications. Named entity recognition, a tool used in information extraction tasks, focuses on recognizing small pieces of information in order to extract information on a larger scale. The authors use written text and examples in French and English to present the necessary elements for the readers to familiarize themselves with the main concepts related to named entities and to discover the problems associated with them, as well as the methods available in practice for solving these issues.