Download or read book Photography in Information Storage and Retrieval written by Society of Photographic Scientists and Engineers and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book 1965 Symposium on Photography in Information Storage and Retrieval Washington D c October 21 23 1965 written by washington Symposium on photography in information storage and retrieval (1965.s) and published by . This book was released on 1965 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Symposium on Photography in Information Storage and Retrieval written by and published by . This book was released on 1965 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Symposium on Photography in Information Storage and Retrieval written by Society of Photographic Scientists and Engineers and published by . This book was released on 1965 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book 1965 Symposium on Photography in Information Storage and Retrieval written by and published by . This book was released on 1965 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book State of the Art in Content Based Image and Video Retrieval written by Remco C. Veltkamp and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Images and video play a crucial role in visual information systems and multimedia. There is an extraordinary number of applications of such systems in entertainment, business, art, engineering, and science. Such applications often involved large image and video collections, and therefore, searching for images and video in large collections is becoming an important operation. Because of the size of such databases, efficiency is crucial. We strongly believe that image and video retrieval need an integrated approach from fields such as image processing, shape processing, perception, database indexing, visualization, and querying, etc. This book contains a selection of results that was presented at the Dagstuhl Seminar on Content-Based Image and Video Retrieval, in December 1999. The purpose of this seminar was to bring together people from the various fields, in order to promote information exchange and interaction among researchers who are interested in various aspects of accessing the content of image and video data. The book provides an overview of the state of the art in content-based image and video retrieval. The topics covered by the chapters are integrated system aspects, as well as techniques from image processing, computer vision, multimedia, databases, graphics, signal processing, and information theory. The book will be of interest to researchers and professionals in the fields of multimedia, visual information (database) systems, computer vision, and information retrieval.

Download or read book A History of Information Storage and Retrieval written by Foster Stockwell and published by McFarland. This book was released on 2007-11-02 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Throughout history, humans have sought ways not only to acquire but to preserve knowledge. From when to plant crops to who begat whom, even the earliest people worked to gather and store information. Today, computers and other technologies have almost completely changed the world of information access and storage. This history traces the development of knowledge-collecting from early humans, whose minds served as repositories of culture and lore, through the first libraries and encyclopedias, to the many advances of the twentieth century. Ironically it is with these latest advances that the preservation of knowledge has foundered. For example, CD-ROMs can last no doubt for decades--but the software programs that run them will not, because they are constantly being upgraded. Both well-known and obscure pieces of the information story are explored in this work. From Diderot's encyclopedia, to anonymous librarians of the ancient world, the people who created information storage systems and the systems themselves are all presented. Fully indexed.

Download or read book Information Storage and Retrieval written by George W. Barnard and published by . This book was released on 1963 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of information retrieval, the methods of indexing and storing the vast number of scientific documents which have been produced in recent years is surveyed. Information retrieval utilizes coordinate indexing - that is, listing documents under all the topics they contain and searching for them by two or more terms. There are two principal types of indexing: one using a predetermined list of terms into which all documents must be fitted and the other allowing free choice of the terms found in the documents themselves. Elaboration of these methods and the difficulty of developing a list of indexing terms are also discussed. An information retrieval system may consist of an index only, an index with an abstract, or an entire document with an index. The mechanical equipment used may range from punched cards through IBM cards to complex computers and micro photographic systems. The experiences of various organizations with different combinations of equipment and methods are discussed.

Download or read book Retrieval from an Image Knowledge Base written by James H. Janicki and published by . This book was released on 1993 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: "With advances in computer technology, images and image databases are becoming increasingly important. Retrievals of images in current image database systems have been designed using keyword searches. These carefully designed and handcrafted systems are very efficient given the application domain they are built for. Unfortunately, they are not adaptable to other domains, not expandable for other uses of the existing information and are not very forgiving to their users. The appearance of full-text search provides for a more general search given textual documents. However, pictorial images contain a vast amount of information that is difficult to catalog in a general way. Further this classification needs to be dynamic providing for flexible searching capability. The searching should allow for more than a pre-programmed set of search parameters, as exact searches make the image database quite useless for a search that was not designed into the original database. Further the incorporation of knowledge along with the images is difficult. Development of an image knowledge base along with content-based retrieval techniques is the focus of this thesis. Using an artificial intelligence technique called case-based reasoning, images can be retrieved with a degree of flexibility. Each image would be classified by user entered attributes about the image called descriptors. These descriptors would also have a "degree-of-importance" parameter. This parameter would indicate the relative importance or certainty of that descriptor. These descriptors are collected as the "case" for the image and stored in "frames" Each image can vary as to the amount of attribute information they contain. Retrieval of an image from the knowledge base begins with the entry of new descriptors for the desired image. Along with the descriptors are the degree-of-importance parameter. The degree-of-importance would indicate the requirement for the desired image to match that descriptor. Again, a variable number of descriptors can be entered. After all criteria are entered, the system will search for cases that have any level of matching. The system will use the degree-of-importance both in the knowledge base about the candidate image(s) and the degree-of-importance on the search criteria to order the images. The ordering process will use weighted summations to present a relatively small list of candidate images. To demonstrate and validate the concepts outlined, a prototype of the system has been developed. This prototype includes the primary architectural components of a potentially real product. Architectural areas addressed are: the storage of the knowledge, storage and access to a large number of high-resolution images, means of searching or interrogating the knowledge base, and the actual display of images. The prototype is called the "Smart Photo Album" It is an electronic filing system for 35mm pictures taken by the average photographer on up to the photo-journalist. It allows for multiple ways of indexing the pictures of any subject matter. Retrieval from the knowledge base provides relative matches to the given search criteria. Although this application is relatively simple, the basis of the system can be easily extended to include a more sophisticated knowledge base and reasoning process as, for example, would be used for a medical diagnostic application in the field of dermatology."--Abstract.

Download or read book Handbook of Image Storage and Retrieval Systems written by Marc R. D'Alleyrand and published by Van Nostrand Reinhold Company. This book was released on 1992 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Intelligence for Maximizing Content Based Image Retrieval written by Ma, Zongmin and published by IGI Global. This book was released on 2009-01-31 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discusses major aspects of content-based image retrieval (CBIR) using current technologies and applications within the artificial intelligence (AI) field.

Download or read book Content Based Image Retrieval written by Vipin Tyagi and published by Springer. This book was released on 2018-01-15 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR). It presents insights into and the theoretical foundation of various essential concepts related to image searches, together with examples of natural and texture image types. The book discusses key challenges and research topics in the context of image retrieval, and provides descriptions of various image databases used in research studies. The area of image retrieval, and especially content-based image retrieval (CBIR), is a very exciting one, both for research and for commercial applications. The book explains the low-level features that can be extracted from an image (such as color, texture, shape) and several techniques used to successfully bridge the semantic gap in image retrieval, making it a valuable resource for students and researchers interested in the area of CBIR alike.

Download or read book The DAM Book written by Peter Krogh and published by "O'Reilly Media, Inc.". This book was released on 2009-04-27 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the main concerns for digital photographers today is asset management: how to file, find, protect, and re-use their photos. The best solutions can be found in The DAM Book, our bestselling guide to managing digital images efficiently and effectively. Anyone who shoots, scans, or stores digital photographs is practicing digital asset management (DAM), but few people do it in a way that makes sense. In this second edition, photographer Peter Krogh -- the leading expert on DAM -- provides new tools and techniques to help professionals, amateurs, and students: Understand the image file lifecycle: from shooting to editing, output, and permanent storage Learn new ways to use metadata and key words to track photo files Create a digital archive and name files clearly Determine a strategy for backing up and validating image data Learn a catalog workflow strategy, using Adobe Bridge, Camera Raw, Adobe Lightroom, Microsoft Expression Media, and Photoshop CS4 together Migrate images from one file format to another, from one storage medium to another, and from film to digital Learn how to copyright images To identify and protect your images in the marketplace, having a solid asset management system is essential. The DAM Book offers the best approach.

Download or read book Storage and Retrieval for Image and Video Databases VII written by Minerva Ming-Yee Yeung and published by Society of Photo Optical. This book was released on 1998 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of 69 papers which were presented at the IS&T/SPIE Electronic Imaging Symposium, 1999. They appear in 13 sessions on subjects such as: image retrieval applications; multimedia management and retrieval systems; video retrieval; and image browsing.

Download or read book Advance Printing of Invited Papers and Summaries written by and published by . This book was released on 1965 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Managing Photographs in the Digital Age written by Suzanne Maiden Walls and published by AuthorHouse. This book was released on 2008-11 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today's digital cameras have changed the face of professional and amateur photography. Everybody is taking pictures of everything. Every event is recorded for posterity; but ... do you know where your photographs are? In Managing Photographs in the Digital Age, explore methods for organizing your photographs so they can be found again. What a concept! Learn new options for bringing some structure to your growing digital collections using the software you already have. Capitalize on using the Internet as well as some of today's newer scanning and photography products to further expand your ability to store, retrieve and share those precious moments.

Download or read book Intelligent Image Databases written by Yihong Gong and published by Springer Science & Business Media. This book was released on 1997-10-31 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Image Databases: Towards Advanced Image Retrieval addresses the image feature selection issue in developing content-based image retrieval systems. The book first discusses the four important issues in developing a complete content-based image retrieval system, and then demonstrates that image feature selection has significant impact on the remaining issues of system design. Next, it presents an in-depth literature survey on typical image features explored by contemporary content-based image retrieval systems for image matching and retrieval purposes. The goal of the survey is to determine the characteristics and the effectiveness of individual features, so as to establish guidelines for future development of content-based image retrieval systems. Intelligent Image Databases: Towards Advanced Image Retrieval describes the Advanced Region-Based Image Retrieval System (ARBIRS) developed by the authors for color images of real-world scenes. They have selected image regions for building ARBIRS as the literature survey suggests that prominent image regions, along with their associated features, provide a higher probability for achieving a higher level content-based image retrieval system. A major challenge in building a region-based image retrieval system is that prominent regions are rather difficult to capture in an accurate and error-free condition, particularly those in images of real-world scenes. To meet this challenge, the book proposes an integrated approach to tackle the problem via feature capturing, feature indexing, and database query. Through comprehensive system evaluation, it is demonstrated how these systematically integrated efforts work effectively to accomplish advanced image retrieval. Intelligent Image Databases: Towards Advanced Image Retrieval serves as an excellent reference and may be used as a text for advanced courses on the topic.