Advances in Visual Information Management

TRAMA

Video segmentation is the most fundamental process for appropriate index­ ing and retrieval of video intervals. In general, video streams are composed 1 of shots delimited by physical shot boundaries. Substantial work has been done on how to detect such shot boundaries automatically (Arman et aI. , 1993) (Zhang et aI. , 1993) (Zhang et aI. , 1995) (Kobla et aI. , 1997). Through the inte­ gration of technologies such as image processing, speech/character recognition and natural language understanding, keywords can be extracted and associated with these shots for indexing (Wactlar et aI. , 1996). A single shot, however, rarely carries enough amount of information to be meaningful by itself. Usu­ ally, it is a semantically meaningful interval that most users are interested in re­ trieving. Generally, such meaningful intervals span several consecutive shots. There hardly exists any efficient and reliable technique, either automatic or manual, to identify all semantically meaningful intervals within a video stream. Works by (Smith and Davenport, 1992) (Oomoto and Tanaka, 1993) (Weiss et aI. , 1995) (Hjelsvold et aI. , 1996) suggest manually defining all such inter­ vals in the database in advance. However, even an hour long video may have an indefinite number of meaningful intervals. Moreover, video data is multi­ interpretative. Therefore, given a query, what is a meaningful interval to an annotator may not be meaningful to the user who issues the query. In practice, manual indexing of meaningful intervals is labour intensive and inadequate.

SOMMARIO

I Advances in Visual Information Management I.- 1 Construction of the Multimedia Mediation Systems.- II Video Retrieval.- 2 A New Algebraic Approach to Retrieve Meaningful Video Intervals from Fragmentarily Indexed Video Shots.- 3 Toward The MEdiaSys Vldeo Search Engine (MEVISE).- 4 Content-based Video Retrieval Based on Similarity of Camera Motion.- III Information Visualization.- 5 Visual Exploration for Social Recommendations.- 6 Web-Based Visualization of Large Hierarchical Graphs Using Invisible Links in a Hyperbolic Space.- 7 Visualizing Electronic Document Repositories: Drawing Books and Papers in a Digital Library.- IV Modeling and Recognition.- 8 A Motion Recognition Method by Using Primitive Motions.- 9 Conceptual Modelling for Database User Interfaces.- V Advances in Visual Information Management II.- 10 Searching, Data Mining and Visualization of Multimedia Data.- VI Image Similarity Retrieval.- 11 Efficient Image Retrieval by Examples.- 12 Applying Augmented Orientation Spatial Similarity Retrieval in Pictorial Database.- 13 Toward Feature Algebras in Visual Databases: The Case for a Histogram Algebra.- VII Spatio-Temporal Database.- 14 Query-By-Trace: Visual Predicate Specification in Spatio-Temporal Databases.- 15 Skimming Multiple Perspective Video Using Tempo-Spatial Importance Measures.- 16 Networked Augmented Spatial Hypermedia System on Internet.- VIII Visual Querying.- 17 Drag and Drop: Amalgamation of Authoring, Querying, Restructuring for Multimedia View Construction.- 18 BBQ: A Visual Interface for Integrated Browsing and Querying of XML.- 19 MDDQL: A Visual Query Language for Metadata Driven Querying.- IX Clustering and Retrieval.- 20 Hierarchical Space Model for Multimedia Data Retrieval.- 21 MST Construction with Metric Matrix for Clustering.- X User Interface.- 22 Automatic Updates of Interactive Information Visualization User Interfaces through Database Triggers.- 23 TBE: A Graphical Interface for Writing Trigger Rules in Active Databases.- 24 WEBSA: Database Support for Efficient Web Site Navigation.- Index of contributors.- Keyword index.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9780792378358
• Collana: IFIP Advances in Information and Communication Technology
• Dimensioni: 234 x 156 mm
• Formato: Copertina rigida
• Illustration Notes: XIV, 410 p.
• Pagine Arabe: 410
• Pagine Romane: xiv