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- research-articleJanuary 2020
A hybrid generative-discriminative model for abnormal event detection in surveillance video scenes
International Journal of Information and Computer Security (IJICS), Volume 12, Issue 2-32020, Pages 253–268https://doi.org/10.1504/ijics.2020.105179Detecting anomalous events in densely pedestrian traffic video scenes remains challenging task, due to object's tracking difficulties and noise in the scene. In this paper, a Novel Hybrid Generative-Discriminative framework is proposed for detecting and ...
- research-articleDecember 2018
Object Recognition Using Deep Neural Network with Distinctive Features
ICVIP '18: Proceedings of the 2018 2nd International Conference on Video and Image ProcessingDecember 2018, Pages 203–207https://doi.org/10.1145/3301506.3301518In this paper, a new object recognition method using statistically weighting Multi-Layer Perceptron (MLP) is proposed. It uses visual distinctive features, which are computed using Bag of Visual Words (BoVW) framework. The proposed method has the ...
- research-articleJune 2018
Lifelogging Retrieval based on Semantic Concepts Fusion
LSC '18: Proceedings of the 2018 ACM Workshop on The Lifelog Search ChallengeJune 2018, Pages 24–29https://doi.org/10.1145/3210539.3210545Lifelogging data provides useful insight understanding about our lives during daily activities. Thus, it is essential to develop a system to assist users to retrieve events or memories from lifelogging data from ad-hoc text queries. In this paper, we ...
- research-articleJanuary 2016
Passenger Compartment Violation Detection in HOV/HOT Lanes
IEEE Transactions on Intelligent Transportation Systems (TITS), Volume 17, Issue 2Feb. 2016, Pages 395–405https://doi.org/10.1109/TITS.2015.2475721Due to the high volume of traffic on modern roadways, transportation agencies have proposed high occupancy vehicle (HOV) and high occupancy tolling (HOT) lanes to promote carpooling. Enforcement of the rules of these lanes is currently performed by ...
- research-articleNovember 2015
Activities of daily living recognition using optimal trajectories from motion boundaries
Journal of Ambient Intelligence and Smart Environments (JAISE), Volume 7, Issue 6Nov 2015, Pages 817–834https://doi.org/10.3233/AIS-150347The recognition of activities of daily living (ADLs) refers to the classification of activities commonly carried out in daily life, which are of particular interest in numerous applications, such as health monitoring, smart home environments and ...
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- research-articleNovember 2015
Visual Place Recognition with Repetitive Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence (ITPM), Volume 37, Issue 11Nov. 2015, Pages 2346–2359https://doi.org/10.1109/TPAMI.2015.2409868Repeated structures such as building facades, fences or road markings often represent a significant challenge for place recognition. Repeated structures are notoriously hard for establishing correspondences using multi-view geometry. They violate the ...
- ArticleDecember 2014
Towards Better Land Cover Classification Using Geo-tagged Photographs
ISM '14: Proceedings of the 2014 IEEE International Symposium on MultimediaDecember 2014, Pages 320–327https://doi.org/10.1109/ISM.2014.78A land cover map that represents the land surface of the earth is based primarily on analysis of remotely sensed images. However, the rate of concordance of existing land cover maps is not high. This lack of concordance results from a difference in ...
- ArticleDecember 2013
Action and Event Recognition with Fisher Vectors on a Compact Feature Set
ICCV '13: Proceedings of the 2013 IEEE International Conference on Computer VisionDecember 2013, Pages 1817–1824https://doi.org/10.1109/ICCV.2013.228Action recognition in uncontrolled video is an important and challenging computer vision problem. Recent progress in this area is due to new local features and models that capture spatio-temporal structure between local features, or human-object ...
- research-articleOctober 2013
Medical image retrieval using bag of meaningful visual words: unsupervised visual vocabulary pruning with PLSA
MIIRH '13: Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcareOctober 2013, Pages 75–82https://doi.org/10.1145/2505323.2505336Content--based medical image retrieval has been proposed as a technique that allows not only for easy access to images from the relevant literature and electronic health records but also for training physicians, for research and clinical decision ...
- ArticleAugust 2013
Remote Sensing Image Segmentation and Representation through Multiscale Analysis
SIBGRAPI-T '13: Proceedings of the 2013 26th Conference on Graphics, Patterns and Images TutorialsAugust 2013, Pages 23–30https://doi.org/10.1109/SIBGRAPI-T.2013.11Every year, new sensor technologies are being implemented to improve the acquisition ofhigh-resolution remote sensing images (RSIs). With the large amount of data provided by these sensors,novel computational approaches are constantly required to ...
- ArticleSeptember 2012
Handwritten and Machine Printed Text Separation in Document Images Using the Bag of Visual Words Paradigm
ICFHR '12: Proceedings of the 2012 International Conference on Frontiers in Handwriting RecognitionSeptember 2012, Pages 103–108https://doi.org/10.1109/ICFHR.2012.207In a number of types of documents, ranging from forms to archive documents and books with annotations, machine printed and handwritten text may be present in the same document image, giving rise to significant issues within a digitisation and ...
- research-articleSeptember 2012
Robust image retrieval using bag of visual words with fuzzy codebooks and fuzzy assignment
i-KNOW '12: Proceedings of the 12th International Conference on Knowledge Management and Knowledge TechnologiesSeptember 2012, Article No.: 34, Pages 1–4https://doi.org/10.1145/2362456.2362498Content-based retrieval systems leverage low level features such as color, texture or local information of images to find similar images to a respective query image. In recent years the Bag of Visual Words (BoVW) approach, which relies on quantized ...
- research-articleJune 2012
Cross-modal categorisation of user-generated video sequences
ICMR '12: Proceedings of the 2nd ACM International Conference on Multimedia RetrievalJune 2012, Article No.: 25, Pages 1–8https://doi.org/10.1145/2324796.2324828This paper describes the possibilities of cross-modal classification of multimedia documents in social media platforms. Our framework predicts the user-chosen category of consumer-produced video sequences based on their textual and visual features. ...
- research-articleDecember 2011
Pursuing the holy grail by interrelating user intentions and bag of visual words to perform retrieval adaptation
SBNMA '11: Proceedings of the 2011 ACM workshop on Social and behavioural networked media accessDecember 2011, Pages 3–8https://doi.org/10.1145/2072627.2072631When searching for visual content in large image repositories users face a serious problem. Due to the large amount of resources to tap, they cannot find the content, which fits their information need best. The information need is typically based on the ...
- ArticleAugust 2011
Visual words on baggage X-ray images
CAIP'11: Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part IAugust 2011, Pages 360–368X-ray inspection systems play a crucial role in security checkpoints, especially at the airports. Automatic analysis of X-ray images is desirable for reducing the workload of the screeners, increasing the inspection speed and for privacy concerns. X-ray ...
- posterJuly 2011
Words-of-interest selection based on temporal motion coherence for video retrieval
SIGIR '11: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information RetrievalJuly 2011, Pages 1197–1198https://doi.org/10.1145/2009916.2010117The "Bag of Visual Words" (BoW) framework has been widely used in query-by-example video retrieval to model the visual content by a set of quantized local feature descriptors. In this paper, we propose a novel technique to enhance BoW by the selection ...
- ArticleJanuary 2011
A semantic higher-level visual representation for object recognition
MMM'11: Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part IJanuary 2011, Pages 251–261Having effective methods to access the images with desired object is essential nowadays with the availability of huge amount of digital images. We propose a semantic higher-level visual representation which improves the traditional part-based bag-of ...
- ArticleSeptember 2010
Max-margin dictionary learning for multiclass image categorization
ECCV'10: Proceedings of the 11th European conference on Computer vision: Part IVSeptember 2010, Pages 157–170Visual dictionary learning and base (binary) classifier training are two basic problems for the recently most popular image categorization framework, which is based on the bag-of-visual-terms (BOV) models and multiclass SVM classifiers. In this paper, ...
- research-articleJuly 2010
Bag of visual words revisited: an exploratory study on robust image retrieval exploiting fuzzy codebooks
MDMKDD '10: Proceedings of the Tenth International Workshop on Multimedia Data MiningJuly 2010, Article No.: 3, Pages 1–6https://doi.org/10.1145/1814245.1814248Visual information retrieval systems have gained importance due to the increasing amount of available digital multimedia data. Local features employing a bag of words approach from text retrieval have outperformed global features and have enhanced ...
- posterOctober 2009
Video shots retrieval using local invariant features
IMCE '09: Proceedings of the 1st international workshop on Interactive multimedia for consumer electronicsOctober 2009, Pages 73–78https://doi.org/10.1145/1631040.1631052In this paper, we present an efficient video shots retrieval system based on local feature detection, description and matching. A face tracker is first used to obtain information on faces in different viewpoints. A visual vocabulary is built off-line ...