Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.
You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.
After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.
Multimedia Database Retrieval: A Human-Centered Approach presents the latest development in user-centered methods and the state-of-the-art in visual media retrieval. It includes discussion on perceptually inspired non-linear paradigm in user-controlled interactive retrieval (UCIR) systems. It also features a coherent approach which focuses on specific topics within content/concept-based retrievals via audio-visual information modeling of multimedia.
* Exploring an adaptive machine that can learn from its environment
* Optimizing the learning system by incorporating self-organizing adaptation into the retrieval process
* Demonstrating state-of-the-art applications within small, medium, and large databases
The authors also include applications related to Digital Asset Management (DAM), Computer Aided Referral (CAR) System, Geographical Database Retrieval, retrieval of Art Documents, and Films and Video Retrieval.
Multimedia Database Retrieval: A Human-Centered Approach presents the fundamental and advanced aspects of these topics, as well as the philosophical directions in the field. The methods detailed in this book possess broad applications which will advance the technology in this fast developing topical area.
Content Level »Research
Keywords »Audio-visual Information - Augmented Reality - Concept Based Retrieval - Digital Asset Management - Geographical Databases - Information - Interactive Database Retrieval - Internet - Multimedia - Self Organizing Adaptation - Video Retrieval - database - development - modeling - performance
Interactive Content-based Image Retrieval.- High Performance Retrieval: A New Machine Learning Approach.- Automatic Relevance Feedback.- Automatic Retrieval on P2P Network and Knowledge-based Databases.- Adaptive Video Indexing and Retrieval.- Movie Retrieval Using Audio-visual Fusion.