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____________________D______________________ Detection of High-Level Concepts in Multimedia
"... Definition: High-level concept detection is the process within which the high-level concepts or objects which are presented in a multimedia document are determined. For example, given an image, a detection scheme would reply that it contains concepts such as “sky”, “sand”, “sea”, the image depicts a ..."
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Definition: High-level concept detection is the process within which the high-level concepts or objects which are presented in a multimedia document are determined. For example, given an image, a detection scheme would reply that it contains concepts such as “sky”, “sand”, “sea”, the image depicts
What Are the High-Level Concepts with Small Semantic Gaps?
"... Concept-based multimedia search has become more and more popular in Multimedia Information Retrieval (MIR). However, which semantic concepts should be used for data collection and model construction is still an open question. Currently, there is very little research found on automatically choosing m ..."
Abstract
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Cited by 10 (2 self)
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multimedia concepts with small semantic gaps. In this paper, we propose a novel framework to develop a lexicon of high-level concepts with small semantic gaps (LCSS) from a large-scale web image dataset. By defining a confidence map and content-context similarity matrix, images with small semantic gaps
Identification of High-Level Concept Clones in Source Code
, 2001
"... Source code duplication occurs frequently within large software systems. Pieces of source code, functions, and data types are often duplicated in part, or in whole, for a variety of reasons. Programmers may simply be reusing a piece of code via copy and paste or they may be "reinventing the whe ..."
Abstract
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Cited by 85 (9 self)
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Source code duplication occurs frequently within large software systems. Pieces of source code, functions, and data types are often duplicated in part, or in whole, for a variety of reasons. Programmers may simply be reusing a piece of code via copy and paste or they may be "reinventing the wheel".
Using Visual Context and Region Semantics for High-Level Concept Detection
, 2009
"... In this paper we investigate detection of high-level concepts in multimedia content through an integrated approach of visual thesaurus analysis and visual context. In the former, detection is based on model vectors that represent image composition in terms of region types, obtained through clusterin ..."
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Cited by 11 (2 self)
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In this paper we investigate detection of high-level concepts in multimedia content through an integrated approach of visual thesaurus analysis and visual context. In the former, detection is based on model vectors that represent image composition in terms of region types, obtained through
Avrithis - "A Region Thesaurus Approach for High-Level Concept Detection
- in the Natural Disaster Domain", 2nd international conference on Semantics And digital Media Technologies (SAMT
, 2007
"... Abstract. This paper presents an approach on high-level feature de-tection using a region thesaurus. MPEG-7 features are locally extracted from segmented regions and for a large set of images. A hierarchical clustering approach is applied and a relatively small number of region types is selected. Th ..."
Abstract
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Cited by 9 (9 self)
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. This set of region types defines the region thesaurus. Using this thesaurus, low-level features are mapped to high-level con-cepts as model vectors. This representation is then used to train support vector machine-based feature detectors. As a next step, latent semantic analysis is applied on the model
A Visual Context Ontology for Multimedia High-Level Concept Detection
"... Abstract. The notion of context plays a significant role in multimedia content search and retrieval systems. In this paper we focus our research efforts on a visual context knowledge representation, to be utilized for multimedia high-level concept detection. We propose and describe in detail types o ..."
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Abstract. The notion of context plays a significant role in multimedia content search and retrieval systems. In this paper we focus our research efforts on a visual context knowledge representation, to be utilized for multimedia high-level concept detection. We propose and describe in detail types
Learning high-level concepts by training a deep network on eye fixations
- in: Deep Learning and Unsupervised Feature Learning Workshop, In Conduction with NIPS, Lake Tahoe
, 2012
"... Visual attention is the ability to select visual stimuli that are most behaviorally relevant among the many others. It allows us to allocate our limited processing resources to the most informative part of the visual scene. In this paper, we learn general high-level concepts with the aid of selectiv ..."
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Cited by 2 (0 self)
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Visual attention is the ability to select visual stimuli that are most behaviorally relevant among the many others. It allows us to allocate our limited processing resources to the most informative part of the visual scene. In this paper, we learn general high-level concepts with the aid
Human-inspired Identification of High-level Concepts using OWA and Linguistic Quantifiers
"... Abstract: Intelligent agent based system can be used to identify high-level concepts matching sets of keywords provided by users. A new human-inspired approach to concept identification in documents is introduced here. The pro-posed method takes keywords and builds concept structures based on them. ..."
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Abstract: Intelligent agent based system can be used to identify high-level concepts matching sets of keywords provided by users. A new human-inspired approach to concept identification in documents is introduced here. The pro-posed method takes keywords and builds concept structures based on them
High-Level Concept Detection in Video Using a Region Thesaurus
"... Abstract. This work presents an approach on high-level semantic feature detection in video sequences. Keyframes are selected to represent the visual content of the shots. Then, low-level feature extraction is performed on the keyframes and a feature vector including color and texture features is for ..."
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semantic concept. The presented approach is also extended using Latent Semantic Analysis as a further step to exploit co-occurrences of the regiontypes. High-level concepts detected are desert, vegetation, mountain, road, sky and snow within TV news bulletins. Experiments were performed with TRECVID 2005
K.: Abstraction of High Level Concepts from Numerical Values in Databases
- In: Proceedings of the Knowledge Discovery in Data Mining Workshop (KDD
, 1994
"... A conceptual clustering method is proposed for discovering high level concepts of numerical attribute values from databases. The method considers both frequency and value distributions of data, thus is able to discover relevant concepts from numerical attributes. The discovered knowledge can be used ..."
Abstract
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Cited by 25 (13 self)
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A conceptual clustering method is proposed for discovering high level concepts of numerical attribute values from databases. The method considers both frequency and value distributions of data, thus is able to discover relevant concepts from numerical attributes. The discovered knowledge can
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