Picture 1 of 1
Stock photo
Picture 1 of 1
Stock photo
Clinical and Projective Use of the Bender-Gestalt Test by Eugene X. Perticone (1998, Trade Paperback)
ZUBER (267141)
97.8% positive feedback
Price:
US $40.75
ApproximatelyRM 172.91
+ $19.44 shipping
Returns:
30 days return. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.
Condition:
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
About this product
Product Identifiers
PublisherThomas Publisher, The Limited, Charles C.
ISBN-100398068356
ISBN-139780398068356
eBay Product ID (ePID)794377
Product Key Features
Number of Pages150 Pages
Publication NameClinical and Projective Use of the Bender-Gestalt Test
LanguageEnglish
SubjectAssessment, Testing & Measurement
Publication Year1998
TypeTextbook
Subject AreaPsychology
AuthorEugene X. Perticone
FormatTrade Paperback
Dimensions
Item Length10 in
Item Width7 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN97-043203
TitleLeadingThe
IllustratedYes
Dewey Decimal616.89/075
SynopsisRecent advances in computing, communication, and data storage have led to an increasing number of large digital libraries publicly available on the Internet. In addition to alphanumeric data, other modalities, including video play an important role in these libraries. Ordinary techniques will not retrieve required information from the enormous mass of data stored in digital video libraries. Instead of words, a video retrieval system deals with collections of video records. Therefore, the system is confronted with the problem of video understanding. The system gathers key information from a video in order to allow users to query semantics instead of raw video data or video features. Users expect tools that automatically understand and manipulate the video content in the same structured way as a traditional database manages numeric and textual data. Consequently, content-based search and retrieval of video data becomes a challenging and important problem. This book focuses particularly on content-based video retrieval. After addressing basic concepts and techniques in the field, Content-Based Video Retrieval: A Database Perspective concentrates on the semantic gap problem, i.e., the problem of inferring semantics from raw video data, as the main problem of content-based video retrieval. This book identifies and proposes the integrated use of three different techniques to bridge the semantic gap, namely, spatio-temporal formalization methods, hidden Markov models, and dynamic Bayesian networks. As the problem is approached from a database perspective, the emphasis evolves from a database management system into a video database management system. This system allows a user to retrieve the desired video sequence among voluminous amounts of video data in an efficient and semantically meaningful way. This book also presents a modeling framework and a prototype of a content-based video management system that integrates the three methods and provides efficient, flexible, and scalable content-based video retrieval. The proposed approach is validated in the domain of sport videos for which some experimental results are presented. Content-Based Video Retrieval: A Database Perspective is designed for a professional audience, composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and electrical engineering.
LC Classification NumberRC473.B46P47 1998
Be the first to write a review
