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Context based object categorization: A critical survey
2010
Computer Vision and Image Understanding
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Recognizing an object in an image is difficult when images present occlusion, poor quality, noise or background clutter, and this task becomes even more challenging when many objects are present in the ...
Several models for object categorization use appearance and context information from objects to improve recognition accuracy. ...
The majority of the context-based models include at most two different types of context, semantic and spatial, since the complexity to determine scale context is still high for 2D images. ...
doi:10.1016/j.cviu.2010.02.004
fatcat:3ee2st4tffbnplewyrq5o4i5rm
Exemplar-Based Recognition of Human–Object Interactions
2016
IEEE transactions on circuits and systems for video technology (Print)
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Human action can be recognised from a single still image by modelling human-object interactions (HOI), which infers the mutual spatial structure information between human and the manipulated object as ...
Existing approaches rely heavily on accurate detection of human and object and estimation of human pose; they are thus sensitive to large variations of human poses, occlusion and unsatisfactory detection ...
Fig. 7 . 7 Confusion matrices of the proposed method on the Sports image, Gupta and SYSU action video datasets. ...
doi:10.1109/tcsvt.2015.2397200
fatcat:v7cusm7hcfbj5aeqrdqwrb6cq4
Context modeling in computer vision: techniques, implications, and applications
2010
Multimedia tools and applications
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The basic motivation behind these diverse efforts is generally the same-attempting to enhance current image analysis technologies by incorporating information from outside the target object, including ...
This review is intended to introduce researchers in computer vision and image analysis to this increasingly important field as well as provide a reference for those who may wish to incorporate context ...
The holistic scene understanding problem will be intensively revisited by integrating recent progresses in object detection, image segmentation and scene reconstruction. ...
doi:10.1007/s11042-010-0631-y
fatcat:cspmqzbtinexrghz2zxjklkyva
Vision-based and marker-less surgical tool detection and tracking: a review of the literature
2017
Medical Image Analysis
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The papers included in the review were selected through PubMed and Google Scholar searches using the keywords: "surgical tool detection", "surgical tool tracking", "surgical instrument detection" and " ...
This paper includes three primary contributions: (1) identification and analysis of data-sets used for developing and testing detection algorithms, (2) in-depth comparison of surgical tool detection methods ...
(Pezzementi et al., 2009) , authors proposed to measure the texture of the image using cooccurrence matrices and to perform the representation using a sub-set of Haralick coefficients. ...
doi:10.1016/j.media.2016.09.003
pmid:27744253
fatcat:ertyp274bvdxrjumxsvmd5mqau
Interpretable Visual Reasoning via Induced Symbolic Space
[article]
2021
arXiv
pre-print
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Then, we come up with a method to induce concepts of objects and relations using clues from the attention patterns between objects' visual features and question words. ...
., identifying concepts and their hierarchical relationships from question-answer pairs associated with images; and achieve an interpretable model via working on the induced symbolic concept space. ...
The module works as the following steps: (1) Following [33] , we use Mask-RCNN [13] to detect all objects in an image and output the bounding boxes for them. ...
arXiv:2011.11603v2
fatcat:wbpsqkoeovf6hmjc53dttump6u
Stegomalware: A Systematic Survey of MalwareHiding and Detection in Images, Machine LearningModels and Research Challenges
[article]
2021
arXiv
pre-print
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But the malware payload hiding in multimedia using steganography detection has been a challenge for enterprises, as these are rarely seen and usually act as a stager in sophisticated attacks. ...
The well-known file formats Portable Executable (PE) for Windows and Executable and Linkable Format (ELF) for Linux based operating system are used for malware analysis, and the malware detection capabilities ...
Multiple residual classes such as first, second, third order, edge and square are described for feature (neighboring pixels cooccurrence matrices) generation of the submodel. ...
arXiv:2110.02504v1
fatcat:wz5hnqeixrcdjc4afoyycjp7ui
Interleaved Object Categorization and Segmentation
2003
Procedings of the British Machine Vision Conference 2003
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The motivation behind this is that cooccurrence in the same image allows us to compensate for parts that may occur in different locations on the object. ...
Object shapes are compared using a distance transform, which converts a binary feature map into an image where each pixel value denotes the distance to the nearest feature pixel. ...
doi:10.5244/c.17.78
dblp:conf/bmvc/LeibeS03
fatcat:tdpwrxy44be73ctuxzdeyop26q
Automated Pain Detection from Facial Expressions using FACS: A Review
[article]
2018
arXiv
pre-print
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Unfortunately, FACS coding by humans is a very time-consuming task that makes its clinical use prohibitive. ...
) including valid detection of pain. ...
steepest decent algorithm over the holistic face texture. ...
arXiv:1811.07988v1
fatcat:ku7pgk73n5hstocx5nuod4gu5a
Recovering the sight to blind people in indoor environments with smart technologies
2016
Expert systems with applications
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The first and main one tackles the issue of object recognition for the blind, in which we propose a 'coarse recognition' approach that proceeds by detecting objects in bulk rather than focusing on a single ...
Thus, the underlying insight of the coarse recognition is to list the bunch of objects that likely exist in a camera-shot image (acquired by the blind individual with an opportune interface, e.g., voice ...
Williams for supplying the GPC software [3], which were used in the context of this paper. ...
doi:10.1016/j.eswa.2015.09.054
fatcat:giph3e42fzdidfokeufdn5baoa
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
2020
Engineering
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2020 pre-print arXiv:2004.09044v1 fatcat:rgumwprrxbeozexhdkaqklisom
They are invisible in terms of pixels but nevertheless drive the creation, maintenance, and development of visual scenes. We therefore coin them the "dark matter" of vision. ...
Recent progress in deep learning is essentially based on a "big data for small tasks" paradigm, under which massive amounts of data are used to train a classifier for a single narrow task. ...
In a particular type of adap-
using the cooccurrence of perceptual stimuli [128]. ...
doi:10.1016/j.eng.2020.01.011
fatcat:dltxealx3zgk5eyi2hlszbjhmu
Visual analysis of faces with application in biometrics, forensics and health informatics
[article]
2016
Ph.d.-serien for Det Teknisk-Naturvidenskabelige Fakultet, Aalborg Universitet
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Suppose, an input image frame is expressed by a 2-tuples I(h, w), where h is the height of the image in pixels and w is the width of the image in pixels. ...
The discriminative features that are used for identification purposes from such a Radon image are simply the distance between every two possible pixels of the image. ...
Among different biometric traits iris image, fingerprint, voice, hand-written signature, facial image, hand geometry, hand vein patterns, and retinal pattern are well-known for human authentication [1 ...
doi:10.5278/vbn.phd.engsci.00104
fatcat:445elv6ftfcw3lhg7svwqx3ifu
Affective Brain-Computer Interfaces
[chapter]
2015
The Oxford Handbook of Affective Computing
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The workshop explored the advantages and limitations of using neurophysiological signals as a modality for the automatic recognition of affective and cognitive states, and the possibilities of using this ...
The topics we have explored in this particular workshop are: * emotion elicitation and data collection for affective BCI * detection of affect and mental state via BCI and other modalities * adaptive interfaces ...
The Virtual Guide responds using spoken language and gestures, and can also show things on the map. ...
doi:10.1093/oxfordhb/9780199942237.013.024
fatcat:oia3yvk7hbf7ta6magl6bzjx6u
Spatiotemporal enabled Content-based Image Retrieval
2016
International Conference on GIScience Short Paper Proceedings
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Wireless Sensor Networks (WSNs) are widely used for monitoring and observation of dynamic phenomena. ...
Several optimization methods (i.e., global or local, deterministic or stochastic, etc.) have been proposed to detect and eliminate coverage holes and hence increase the coverage of sensor networks (Argany ...
References Cressie NAC, 1993, Statistics for spatial data, Wiley, New York. d'Oleire-Oltmanns S, Marzolff I, Tiede D, and Blaschke T, 2014, Detection of gully-affected areas by applying object-based image ...
doi:10.21433/b311729295dw
fatcat:fulw4pw3kfh5nmfzcsy3pkisvm
Potential of high-throughput eDNA sequencing of soil fungi and bacteria for monitoring ecological restoration in ultramafic substrates: The case study of the New Caledonian biodiversity hotspot
2021
Ecological Engineering: The Journal of Ecotechnology
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Due to their central role in ecosystems functioning and their ability to rapidly respond to environmental changes, soil microorganisms could potentially be used for monitoring ecosystems recovery in the ...
The emerging approach of high-throughput amplicon sequencing of environmental DNA (eDNA) -metabarcoding of eDNAwas used to compare soil microbial communities from four different native vegetation types ...
Finally, we deeply thank the editor for her useful comments. ...
doi:10.1016/j.ecoleng.2021.106416
fatcat:tomjryqujfew7hmw7vvmbww5ye
Learning Statistical Features of Scene Images
2018
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I first investigate statistical clusters of scene images by training a mixture model under the assumption that each image can be decoded by sparse and independent coefficients. ...
Developing methods that well capture the properties of the representation used by the visual system will be useful for building computational models that are more consistent with perception. ...
images, one interesting objective would be to encode the cooccurrences of local structures on global scales. ...
doi:10.1184/r1/6720389.v1
fatcat:zsvatavxdveeja6xktp3rzibha
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