Paper Info
Title
3D model indexing in videos for content-based retrieval via X3D-based semantic enrichment and automated reasoning.
Abstract
3D models play an important role in a wide range of applications from engineering to training, from visualization to entertainment. The formal representation of, and reasoning over, concepts and properties associated with 3D models can contribute to next-generation 3D scene understanding, classification, indexing, and retrieval via 3D characteristics as opposed to keywords of traditional retrieval methods. This paper introduces a novel 3D model indexing method with X3D-alignment, with an emphasis on the representation, annotation, and efficient content-based retrieval of 3D models and their regions of interest from computer animations.
Year
DOI
Venue
2017
10.1145/3055624.3075943
Web3D
Keywords
Field
DocType
3D Semantics, Content-Based 3D Model Retrieval, X3D, spatio-temporal reasoning, MPEG-7, CGI
Automated reasoning,Annotation,Information retrieval,Entertainment,Computer science,Visualization,Search engine indexing,Content based retrieval,X3D,Visual Word
Conference
Citations 
PageRank 
References 
3
0.41
21
Authors
1
Name
Order
Citations
PageRank
Leslie F. Sikos1173.73