Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
33,044
SCENE CATEGORIZATION USING LOW-LEVEL VISUAL FEATURES
"... Abstract: In this paper, we have built two binary classifiers for indoor/outdoor and city/landscape categories, respectively. The proposed classifiers consist of robust visual feature extraction that feeds a support vector classification. In the case of indoor/outdoor classification, we combine colo ..."
Abstract
- Add to MetaCart
Abstract: In this paper, we have built two binary classifiers for indoor/outdoor and city/landscape categories, respectively. The proposed classifiers consist of robust visual feature extraction that feeds a support vector classification. In the case of indoor/outdoor classification, we combine
Human Activity Encoding and Recognition Using Low-level Visual Features
"... Automatic recognition of human activities is among the key capabilities of many intelligent systems with vision/perception. Most existing approaches to this problem require sophisticated feature extraction before classification can be performed. This paper presents a novel approach for human action ..."
Abstract
-
Cited by 5 (0 self)
- Add to MetaCart
recognition using only simple low-level visual features: motion captured from direct frame differencing. A codebook of key poses is first created from the training data through unsupervised clustering. Videos of actions are then coded as sequences of super-frames, defined as the key poses augmented
Analyzing Low-Level Visual Features Using Content-Based Image Retrieval
- International Conference on Neural Information Processing (ICONIP
, 2000
"... This paper describes how low-level statistical visual features can be analyzed in our content-based image retrieval system named PicSOM. The lowlevel visual features used in the system are all statistical by nature. They include average color, color moments, contrast-type textural feature, and edge ..."
Abstract
-
Cited by 6 (1 self)
- Add to MetaCart
This paper describes how low-level statistical visual features can be analyzed in our content-based image retrieval system named PicSOM. The lowlevel visual features used in the system are all statistical by nature. They include average color, color moments, contrast-type textural feature, and edge
Comparative Analysis of Low-Level Visual Features for Affective Determination of Video Clips
"... Abstract—Many algorithms and works have helped in the understanding and development of affective analysis of films. In spite of the progress made up to now, it is still not very precise how the low-level features of movies shape the resulting affective state of the viewer. In this work we evaluate d ..."
Abstract
- Add to MetaCart
Abstract—Many algorithms and works have helped in the understanding and development of affective analysis of films. In spite of the progress made up to now, it is still not very precise how the low-level features of movies shape the resulting affective state of the viewer. In this work we evaluate
A Film Classifier Based on Low-level Visual Features
"... Abstract — We propose an approach to classify the film classes by using low level features and visual features. This approach aims to classify the films into genres. Our current domain of study is using the movie preview. A movie preview often emphasizes the theme of a film and hence provides suitab ..."
Abstract
-
Cited by 1 (0 self)
- Add to MetaCart
Abstract — We propose an approach to classify the film classes by using low level features and visual features. This approach aims to classify the films into genres. Our current domain of study is using the movie preview. A movie preview often emphasizes the theme of a film and hence provides
Web Pages Aesthetic Evaluation Using Low-Level Visual Features
"... Abstract—Web sites are rapidly becoming the preferred media choice for our daily works such as information search, company presentation, shopping, and so on. At the same time, we live in a period where visual appearances play an increasingly important role in our daily life. In spite of designers ’ ..."
Abstract
- Add to MetaCart
aesthetic evaluation which are the building blocks of web sites. Based on the image processing techniques and artificial neural networks, the proposed method would be able to categorize the input web page according to its visual appearance and aesthetic quality. The employed features are multiscale
www.elsevier.com/locate/visres Predicting visual fixations on video based on low-level visual features
, 2007
"... To what extent can a computational model of the bottom–up visual attention predict what an observer is looking at? What is the contribution of the low-level visual features in the attention deployment? To answer these questions, a new spatio-temporal computational model is proposed. This model incor ..."
Abstract
- Add to MetaCart
To what extent can a computational model of the bottom–up visual attention predict what an observer is looking at? What is the contribution of the low-level visual features in the attention deployment? To answer these questions, a new spatio-temporal computational model is proposed. This model
Perplexity-based Evidential Neural Network Classifier Fusion using MPEG-7 Low-level Visual Features ABSTRACT
"... In this paper, an automatic content-based video shot indexing framework is proposed employing five types of MPEG-7 low-level visual features (color, texture, shape, motion and face). Once the set of features representing the video content is determined, the question of how to combine their individua ..."
Abstract
- Add to MetaCart
In this paper, an automatic content-based video shot indexing framework is proposed employing five types of MPEG-7 low-level visual features (color, texture, shape, motion and face). Once the set of features representing the video content is determined, the question of how to combine
Biologically Motivated Local Contextual Modulation Improves Low-Level Visual Feature Representations
"... Abstract. This paper describes a biologically motivated local context operator to improve low-level visual feature representations. The com-putation borrows the idea from the primate visual system that different visual features are computed with different speeds in the visual system and thus they ca ..."
Abstract
- Add to MetaCart
Abstract. This paper describes a biologically motivated local context operator to improve low-level visual feature representations. The com-putation borrows the idea from the primate visual system that different visual features are computed with different speeds in the visual system and thus
Content-based medical image retrieval using low-level visual features and modality identification
- In Advances in Multilingual and Multimodal Information Retrieval
, 2008
"... Abstract. This paper presents the image retrieval results obtained by the BioIngenium Research Group, in the frame of the ImageCLEFmed 2007 edition. The applied approach consists of two main phases: a preprocessing phase, which builds an image category index and a retrieval phase, which ranks simil ..."
Abstract
-
Cited by 5 (0 self)
- Add to MetaCart
similar images. Both phases are based only on visual information. The experiments show a consistent frame with theory in content-based image retrieval: filtering images with a conceptual index outperforms only-ranking-based strategies; combining features is better than using individual features; and low-level
Results 1 - 10
of
33,044
