Video Mining
Title | Video Mining PDF eBook |
Author | Azriel Rosenfeld |
Publisher | Springer Science & Business Media |
Pages | 345 |
Release | 2013-03-09 |
Genre | Computers |
ISBN | 1475769288 |
Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyzing image sequences, or video Video understanding deals with understanding of video understanding. sequences, e.g., recognition of gestures, activities, facial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvi ous overlap with computer vision. The main goal of computer graphics is to generate and animate realistic looking images, and videos. Re searchers in computer graphics are increasingly employing techniques from computer vision to generate the synthetic imagery. A good exam pIe of this is image-based rendering and modeling techniques, in which geometry, appearance, and lighting is derived from real images using computer vision techniques. Here the shift is from synthesis to analy sis followed by synthesis. Image processing has always overlapped with computer vision because they both inherently work directly with images.
Video Search and Mining
Title | Video Search and Mining PDF eBook |
Author | Dan Schonfeld |
Publisher | Springer |
Pages | 391 |
Release | 2010-04-20 |
Genre | Technology & Engineering |
ISBN | 3642129005 |
As cameras become more pervasive in our daily life, vast amounts of video data are generated. The popularity of YouTube and similar websites such as Tudou and Youku provides strong evidence for the increasing role of video in society. One of the main challenges confronting us in the era of information technology is to - fectively rely on the huge and rapidly growing video data accumulating in large multimedia archives. Innovative video processing and analysis techniques will play an increasingly important role in resolving the difficult task of video search and retrieval. A wide range of video-based applications have benefited from - vances in video search and mining including multimedia information mana- ment, human-computer interaction, security and surveillance, copyright prot- tion, and personal entertainment, to name a few. This book provides an overview of emerging new approaches to video search and mining based on promising methods being developed in the computer vision and image analysis community. Video search and mining is a rapidly evolving discipline whose aim is to capture interesting patterns in video data. It has become one of the core areas in the data mining research community. In comparison to other types of data mining (e. g. text), video mining is still in its infancy. Many challenging research problems are facing video mining researchers.
Video Mining
Title | Video Mining PDF eBook |
Author | Azriel Rosenfeld |
Publisher | Springer Science & Business Media |
Pages | 362 |
Release | 2003-08-31 |
Genre | Computers |
ISBN | 9781402075490 |
Video Mining is an essential reference for the practitioners and academicians in the fields of multimedia search engines. Half a terabyte or 9,000 hours of motion pictures are produced around the world every year. Furthermore, 3,000 television stations broadcasting for twenty-four hours a day produce eight million hours per year, amounting to 24,000 terabytes of data. Although some of the data is labeled at the time of production, an enormous portion remains unindexed. For practical access to such huge amounts of data, there is a great need to develop efficient tools for browsing and retrieving content of interest, so that producers and end users can quickly locate specific video sequences in this ocean of audio-visual data. Video Mining is important because it describes the main techniques being developed by the major players in industry and academic research to address this problem. It is the first time research from these leaders in the field developing the next-generation multimedia search engines is being described in great detail and gathered into a single volume. Video Mining will give valuable insights to all researchers and non-specialists who want to understand the principles applied by the multimedia search engines that are about to be deployed on the Internet, in studios' multimedia asset management systems, and in video-on-demand systems.
Mining Multimedia Documents
Title | Mining Multimedia Documents PDF eBook |
Author | Wahiba Ben Abdessalem Karaa |
Publisher | CRC Press |
Pages | 260 |
Release | 2017-04-21 |
Genre | Computers |
ISBN | 1315399725 |
The information age has led to an explosion in the amount of information available to the individual and the means by which it is accessed, stored, viewed, and transferred. In particular, the growth of the internet has led to the creation of huge repositories of multimedia documents in a diverse range of scientific and professional fields, as well as the tools to extract useful knowledge from them. Mining Multimedia Documents is a must-read for researchers, practitioners, and students working at the intersection of data mining and multimedia applications. It investigates various techniques related to mining multimedia documents based on text, image, and video features. It provides an insight into the open research problems benefitting advanced undergraduates, graduate students, researchers, scientists and practitioners in the fields of medicine, biology, production, education, government, national security and economics.
Data Mining
Title | Data Mining PDF eBook |
Author | Bhavani Thuraisingham |
Publisher | CRC Press |
Pages | 292 |
Release | 2014-01-23 |
Genre | Business & Economics |
ISBN | 1482252503 |
Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges. Three parts divide Data Mining: Part I describes technologies for data mining - database systems, warehousing, machine learning, visualization, decision sup
Managing and Mining Multimedia Databases
Title | Managing and Mining Multimedia Databases PDF eBook |
Author | Bhavani Thuraisingham |
Publisher | CRC Press |
Pages | 354 |
Release | 2001-06-28 |
Genre | Computers |
ISBN | 1420042556 |
There is now so much data on the Web that managing it with conventional tools is becoming almost impossible. To manage this data, provide interoperability and warehousing between multiple data sources and systems, and extract information from the databases and warehouses, various tools are being developed. In fact, developments in multimedia databa
Mining of Massive Datasets
Title | Mining of Massive Datasets PDF eBook |
Author | Jure Leskovec |
Publisher | Cambridge University Press |
Pages | 480 |
Release | 2014-11-13 |
Genre | Computers |
ISBN | 1107077230 |
Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.