Ontology Based Shape Annotation and Retrieval
نویسندگان
چکیده
In this paper, 3D shape retrieval methodology suited for search in special category of 3D shape is presented. The proposed approach employs a fully unsupervised segmentation algorithm to decompose 3D models into components. Shape distribution vectors describing the resulting components are extracted and together with connectivity relations identify a 3D model. The 3D-shapes we are interested in this paper are models of furniture. Ontology of furniture that we started building will be used in annotation and then key word based retrieval of furniture models. A mapping between low level features extracted by the above mentioned algorithm and ontology concepts is performed. The proposed approach bridges the gap between keyword-based approaches and query-by-example approaches by using not only the low-level features but also a domain ontology.
منابع مشابه
Fuzzy Neighbor Voting for Automatic Image Annotation
With quick development of digital images and the availability of imaging tools, massive amounts of images are created. Therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image processing. Automatic image annotation (AIA) or refers to attaching words, keywords or comments to an image or to a selected part of it. In this paper,...
متن کاملMalarial positive image retrieval using Content Based Retrieval Systems
CBIR Systems retrieve the relevant images by using various perceptions and mathematical calculations for example size, shape and other features of various objects in the image. These systems are being largely used in various fields. Here we use them for Retrieval of malarial positive images. In this paper retrieval could be done by using image or text as a query. To achieve best performance in ...
متن کاملUsing Interactive Search Elements in Digital Libraries
Background and Aim: Interaction in a digital library help users locating and accessing information and also assist them in creating knowledge, better perception, problem solving and recognition of dimension of resources. This paper tries to identify and introduce the components and elements that are used in interaction between user and system in search and retrieval of information in digital li...
متن کاملAn Ontology Based Automatic Annotation and Semantic Information Retrieval from Tamil Documents
The use of Ontologies to overcome the limitations of keyword-based search has been put forward as one of the motivations of the Semantic IR. We propose a model, which includes an ontology-based scheme for the automatic annotation of Tamil documents and a retrieval system. The retrieval model is based on an adaptation of the classic vector-space model, including an annotation weighting algorithm...
متن کاملHybrid based Semantic Image Annotation using SVM and DT
This system proposes an ontology based framework for the semantic search in the image annotation process. The main objective of this approach is to use ontology for the semantic search in the image retrieval process. The ontology based framework is developed to define the image space. This system proposes a construction of semantic based approach for image representation using SVM and decision ...
متن کامل