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A standardized set of 260 pictures: Norms for name agreement, image agreement, familiarity, and visual complexity
- JOURNAL OF EXPERIMENTAL PSYCHOLOGY: HUMAN LEARNING AND MEMORY
, 1980
"... In this article we present a standardized set of 260 pictures for use in experiments investigating differences and similarities in the processing of pictures and words. The pictures are black-and-white line drawings executed according to a set of rules that provide consistency of pictorial represent ..."
Abstract
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Cited by 663 (1 self)
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attributes of the pictures. The concepts were selected to provide exemplars from several widely studied semantic categories. Sources of naming variance, and mean familiarity and complexity of the exemplars, differed significantly across the set of categories investigated. The potential significance of each
Real-Time Obstacle Avoidance for Manipulators and Mobile Robots
- INT. JOUR OF ROBOTIC RESEARCH
, 1986
"... This paper presents a unique real-time obstacle avoidance approach for manipulators and mobile robots based on the artificial potential field concept. Collision avoidance, tradi-tionally considered a high level planning problem, can be effectively distributed between different levels of control, al- ..."
Abstract
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Cited by 1345 (28 self)
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This paper presents a unique real-time obstacle avoidance approach for manipulators and mobile robots based on the artificial potential field concept. Collision avoidance, tradi-tionally considered a high level planning problem, can be effectively distributed between different levels of control, al
A survey of content-based image retrieval with high-level semantics
, 2007
"... In order to improve the retrieval accuracy of content-based image retrieval systems, research focus has been shifted from designing sophisticated low-level feature extraction algorithms to reducing the ‘semantic gap ’ between the visual features and the richness of human semantics. This paper attemp ..."
Abstract
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Cited by 150 (5 self)
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, and deriving high-level semantic features. We identify five major categories of the state-of-the-art techniques in narrowing down the ‘semantic gap’: (1) using object ontology to define high-level concepts; (2) using machine learning methods to associate low-level features with query concepts; (3) using
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 ..."
Abstract
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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
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification
"... Robust low-level image features have been proven to be effective representations for a variety of visual recognition tasks such as object recognition and scene classification; but pixels, or even local image patches, carry little semantic meanings. For high level visual tasks, such low-level image r ..."
Abstract
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Cited by 207 (6 self)
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Robust low-level image features have been proven to be effective representations for a variety of visual recognition tasks such as object recognition and scene classification; but pixels, or even local image patches, carry little semantic meanings. For high level visual tasks, such low-level image
Dynamic Queries for Information Exploration: An Implementation and Evaluation
, 1992
"... We designed, implemented and evaluated a new concept for direct manipulation of databases, called dynamic queries, that allows users to formulate queries with graphical widgets, such as sliders. By providing a graphical visualization of the database and search results, users can find trends and exce ..."
Abstract
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Cited by 328 (22 self)
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We designed, implemented and evaluated a new concept for direct manipulation of databases, called dynamic queries, that allows users to formulate queries with graphical widgets, such as sliders. By providing a graphical visualization of the database and search results, users can find trends
Mapping Low-Level Features to High-Level Semantic Concepts
- in Region-Based Image Retrieval”, IEEE Conference on Computer Vision and Pattern Recognition
"... In this a novel supervised learning method is proposed to map low-level visual features to high-level semantic conceptsfor region-based image retrieval. The contributions of thispaper lie in threefolds. (I)For each semantic concept, a set of low-level tokens are extracted fmm the segmented regions o ..."
Abstract
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Cited by 4 (0 self)
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In this a novel supervised learning method is proposed to map low-level visual features to high-level semantic conceptsfor region-based image retrieval. The contributions of thispaper lie in threefolds. (I)For each semantic concept, a set of low-level tokens are extracted fmm the segmented regions
CROSS-DOMAIN LEARNING METHODS FOR HIGH-LEVEL VISUAL CONCEPT CLASSIFICATION
"... Exploding amounts of multimedia data increasingly require automatic indexing and classification, e.g. training classifiers to produce high-level features, or semantic concepts, chosen to represent image content, like car, person, etc. When changing the applied domain (i.e. from news domain to consum ..."
Abstract
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Cited by 33 (6 self)
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Exploding amounts of multimedia data increasingly require automatic indexing and classification, e.g. training classifiers to produce high-level features, or semantic concepts, chosen to represent image content, like car, person, etc. When changing the applied domain (i.e. from news domain
Fusion Method
"... The SESAME team submitted four runs for the MED12 pre-specified events, two runs for the ad hoc events, and a run for multimedia event recounting. The detection runs included combinations of low-level visual, motion, and audio features; high-level semantic visual concepts; and textbased modalities ( ..."
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The SESAME team submitted four runs for the MED12 pre-specified events, two runs for the ad hoc events, and a run for multimedia event recounting. The detection runs included combinations of low-level visual, motion, and audio features; high-level semantic visual concepts; and textbased modalities
The 2012 SESAME Multimedia Event Detection (MED) and Multimedia Event Recounting (MER) Systems
"... The SESAME team submitted four runs for the MED12 pre-specified events, two runs for the ad hoc events, and a run for multimedia event recounting. The detection runs included combinations of low-level visual, motion, and audio features; high-level semantic visual concepts; and text-based modalities ..."
Abstract
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The SESAME team submitted four runs for the MED12 pre-specified events, two runs for the ad hoc events, and a run for multimedia event recounting. The detection runs included combinations of low-level visual, motion, and audio features; high-level semantic visual concepts; and text-based modalities
Results 1 - 10
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2,899
