Visual Indexing and Retrieval
Benois-Pineau, Jenny.
Visual Indexing and Retrieval [electronic resource] / by Jenny Benois-Pineau, Frédéric Precioso, Matthieu Cord. - VIII, 107p. 17 illus. online resource. - SpringerBriefs in Computer Science, 2191-5768 . - SpringerBriefs in Computer Science, .
Introduction -- Visual feature extraction and description -- Machine learning approaches for visual information and retrieval -- Spatial and multi-resolution context in visual indexing -- Scalability issues in visual information retrieval -- Evaluation of visual information indexing and retrieval -- References.
The research in content-based indexing and retrieval of visual information such as images and video has become one of the most populated directions in the vast area of information technologies. Social networks such as YouTube, Facebook, FileMobile, and DailyMotion host and supply facilities for accessing a tremendous amount of professional and user generated data. The areas of societal activity, such as, video protection and security, also generate thousands and thousands of terabytes of visual content. This book presents the most recent results and important trends in visual information indexing and retrieval. It is intended for young researchers, as well as, professionals looking for an algorithmic solution to a problem.
9781461435884
10.1007/978-1-4614-3588-4 doi
Computer science.
Computer Communication Networks.
Information systems.
Information storage and retrieval systems.
Multimedia systems.
Computer Science.
Multimedia Information Systems.
Information Storage and Retrieval.
Information Systems Applications (incl. Internet).
Computer Communication Networks.
Information Systems and Communication Service.
QA76.575
006.7
Visual Indexing and Retrieval [electronic resource] / by Jenny Benois-Pineau, Frédéric Precioso, Matthieu Cord. - VIII, 107p. 17 illus. online resource. - SpringerBriefs in Computer Science, 2191-5768 . - SpringerBriefs in Computer Science, .
Introduction -- Visual feature extraction and description -- Machine learning approaches for visual information and retrieval -- Spatial and multi-resolution context in visual indexing -- Scalability issues in visual information retrieval -- Evaluation of visual information indexing and retrieval -- References.
The research in content-based indexing and retrieval of visual information such as images and video has become one of the most populated directions in the vast area of information technologies. Social networks such as YouTube, Facebook, FileMobile, and DailyMotion host and supply facilities for accessing a tremendous amount of professional and user generated data. The areas of societal activity, such as, video protection and security, also generate thousands and thousands of terabytes of visual content. This book presents the most recent results and important trends in visual information indexing and retrieval. It is intended for young researchers, as well as, professionals looking for an algorithmic solution to a problem.
9781461435884
10.1007/978-1-4614-3588-4 doi
Computer science.
Computer Communication Networks.
Information systems.
Information storage and retrieval systems.
Multimedia systems.
Computer Science.
Multimedia Information Systems.
Information Storage and Retrieval.
Information Systems Applications (incl. Internet).
Computer Communication Networks.
Information Systems and Communication Service.
QA76.575
006.7