Results 1 - 10
of
315
A Multimodal and Multilevel Ranking Scheme for Large-Scale Video Retrieval
"... Abstract—A critical issue of large-scale multimedia retrieval is how to develop an effective framework for ranking the search results. This problem is particularly challenging for content-based video retrieval due to some issues such as short text queries, insufficient sample learning, fusion of mul ..."
Abstract
-
Cited by 9 (3 self)
- Add to MetaCart
Abstract—A critical issue of large-scale multimedia retrieval is how to develop an effective framework for ranking the search results. This problem is particularly challenging for content-based video retrieval due to some issues such as short text queries, insufficient sample learning, fusion
ShapeGoogle: geometric words and expressions for invariant shape retrieval
, 2010
"... The computer vision and pattern recognition communities have recently witnessed a surge of feature-based methods in object recognition and image retrieval applications. These methods allow representing images as collections of “visual words ” and treat them using text search approaches following the ..."
Abstract
-
Cited by 85 (13 self)
- Add to MetaCart
approach achieves state-of-the-art results on the SHREC 2010 large-scale shape retrieval benchmark.
Shape-based retrieval and analysis of 3d models
- Communications of the ACM
, 2005
"... This course covers concepts, methods, and applications for retrieving and analyzing 3D models in large databases. Emphasis is placed on geometric representations and algorithms for indexing and matching 3D objects based on their shapes. A survey of current shape descriptors, query interfaces, and sh ..."
Abstract
-
Cited by 39 (0 self)
- Add to MetaCart
This course covers concepts, methods, and applications for retrieving and analyzing 3D models in large databases. Emphasis is placed on geometric representations and algorithms for indexing and matching 3D objects based on their shapes. A survey of current shape descriptors, query interfaces
SHREC’14 Track: Large Scale Comprehensive 3D Shape Retrieval
"... The objective of this track is to evaluate the performance of 3D shape retrieval approaches on a large-sale comprehensive 3D shape database that contains different types of models, such as generic, articulated, CAD and architecture models. The track is based on a new comprehensive 3D shape benchmark ..."
Abstract
- Add to MetaCart
The objective of this track is to evaluate the performance of 3D shape retrieval approaches on a large-sale comprehensive 3D shape database that contains different types of models, such as generic, articulated, CAD and architecture models. The track is based on a new comprehensive 3D shape
IEEE TRANSACTIONS ON MULTIMEDIA 1 A Multimodal and Multilevel Ranking Scheme for Large-Scale Video Retrieval
"... Abstract—A critical issue of large-scale multimedia retrieval is how to develop an effective framework for ranking the search results. This problem is particularly challenging for content-based video retrieval due to some issues such as short text queries, insufficient sample learning, fusion of mul ..."
Abstract
- Add to MetaCart
Abstract—A critical issue of large-scale multimedia retrieval is how to develop an effective framework for ranking the search results. This problem is particularly challenging for content-based video retrieval due to some issues such as short text queries, insufficient sample learning, fusion
SHREC’13 Track: Large-Scale Partial Shape Retrieval Using Simulated Range Images
"... Partial shape retrieval is a challenging problem in content-based 3D model retrieval. This track intends to evalu-ate the performance of existing algorithms for partial retrieval. The contest is based on a new large-scale query set obtained by mimicking the range image acquisition using a standard 3 ..."
Abstract
- Add to MetaCart
Partial shape retrieval is a challenging problem in content-based 3D model retrieval. This track intends to evalu-ate the performance of existing algorithms for partial retrieval. The contest is based on a new large-scale query set obtained by mimicking the range image acquisition using a standard
A Comparison of Text and Shape Matching for Retrieval of Online 3D Models
- In Proc. European Conference on Digital Libraries
, 2004
"... Because of recent advances in graphics hard- and software, both the production and use of 3D models are increasing at a rapid pace. As a result, a large number of 3D models have become available on the web, and new research is being done on 3D model retrieval methods. Query and retrieval can be d ..."
Abstract
-
Cited by 22 (1 self)
- Add to MetaCart
Because of recent advances in graphics hard- and software, both the production and use of 3D models are increasing at a rapid pace. As a result, a large number of 3D models have become available on the web, and new research is being done on 3D model retrieval methods. Query and retrieval can
SHREC’14 Track: Extended Large Scale Sketch-Based 3D Shape Retrieval
"... Large scale sketch-based 3D shape retrieval has received more and more attentions in the community of content-based 3D object retrieval. The objective of this track is to evaluate the performance of different sketch-based 3D model retrieval algorithms using a large scale hand-drawn sketch query data ..."
Abstract
- Add to MetaCart
Large scale sketch-based 3D shape retrieval has received more and more attentions in the community of content-based 3D object retrieval. The objective of this track is to evaluate the performance of different sketch-based 3D model retrieval algorithms using a large scale hand-drawn sketch query
SHREC’10 Track: Large Scale Retrieval
"... This paper is a report on the 3D Shape Retrieval Constest 2010 (SHREC’10) track on large scale retrieval. This benchmark allows evaluating how wel retrieval algorithms scale up to large collections of 3D models. The task was to perform 40 queries in a dataset of 10000 shapes. We describe the methods ..."
Abstract
- Add to MetaCart
This paper is a report on the 3D Shape Retrieval Constest 2010 (SHREC’10) track on large scale retrieval. This benchmark allows evaluating how wel retrieval algorithms scale up to large collections of 3D models. The task was to perform 40 queries in a dataset of 10000 shapes. We describe
Shape matching and retrieval based on multiple feature descriptors
"... Abstract: A lot of 3D shape descriptors for 3D shape retrieval have been presented so far. This paper proposes a new mechanism, which employs several existing global and local 3D shape descriptors as input. With the sparse theory, some descriptors which play the most important role in measuring simi ..."
Abstract
- Add to MetaCart
Abstract: A lot of 3D shape descriptors for 3D shape retrieval have been presented so far. This paper proposes a new mechanism, which employs several existing global and local 3D shape descriptors as input. With the sparse theory, some descriptors which play the most important role in measuring
Results 1 - 10
of
315