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Robust image recognition by fusion of contextual information
2002
Information Fusion
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This paper studies the fusion of contextual information in pattern recognition, with applications to biomedical image identification. ...
It is helpful to reduce the ambiguity by utilizing extra information, referred to as context, provided by accompanying objects. We investigate two techniques that incorporate context. ...
Acknowledgements This work was partially supported by NSF IIS-0070842 and NASA NCC-2-1218. ...
doi:10.1016/s1566-2535(02)00092-1
fatcat:yktp7uiwirblhkqqxxsolusmfu
Sentence-level Online Handwritten Chinese Character Recognition
[article]
2021
arXiv
pre-print
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and their contextual information multiple times at multi-layer fusion module. ...
To improve the robustness of sentence-level OLHCCR, we further propose a novel deep spatial-temporal fusion network~(DSTFN). ...
It indicates that the contextual information has the significant potential to improve the accuracy and robustness of OLHCCR. ...
arXiv:2108.02561v1
fatcat:pocccqgg6rf7to7ddwcijiibnu
Mobile object recognition using multi-sensor information fusion in urban environments
2008
2008 15th IEEE International Conference on Image Processing
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information fusion with respect to a geo-referenced image database (TSG-20). ...
The results from geo-referenced image capture in an urban scenario prove a significant increase in recognition accuracy (> 10%) when using the geo-contextual information in contrast to omitting geo-information ...
CONCLUSIONS In this work we investigated the contribution of geo-contextual information for the improvement of performance in visual object detection and recognition. ...
doi:10.1109/icip.2008.4712272
dblp:conf/icip/AmlacherLFAP08
fatcat:4qg3nv2qzncn7lwouymdkb6evy
A Comprehensive Overview of Biometric Fusion
[article]
2019
arXiv
pre-print
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) utilizing contextual information to improve biometric recognition accuracy; and (iv) performing continuous authentication using ancillary information. ...
Multibiometric systems utilize the principle of fusion to combine information from multiple sources in order to improve recognition accuracy whilst addressing some of the limitations of single-biometric ...
Ross was supported by the US National Science Foundation under Grant Numbers 1618518 and 1617466 during the writing of this article. ...
arXiv:1902.02919v1
fatcat:4ujumax47vc5hgbddi666fkhda
Geo-indexed object recognition for mobile vision tasks
2008
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services - MobileHCI '08
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The presented functional component -the Attentive Machine Interface (AMI) -enables contextual processing of multi-sensor information in a probabilistic framework, for example to exploit contextual information ...
A major issue for the performance of these services is uncertainty in the visual information which roots in the requirement to index into a huge amount of reference images. ...
geo-contextual information. ...
doi:10.1145/1409240.1409291
dblp:conf/mhci/AmlacherP08
fatcat:mg4xcv23ajcc5are5ezsrke7pe
Context-patch for difficult face recognition
2012
2012 5th IAPR International Conference on Biometrics (ICB)
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We show that by using the context-patch decision level fusion, the identification as well as verification performance of face recognition system can be greatly improved, especially in the case of highly ...
To overcome this issue, we define a context-patch which is a face region that contains more information about a particular region and some contextual information about the rest of the face region. ...
Acknowledgments This work was supported by ONR MURI (Award Number N00014-08-1-0638). ...
doi:10.1109/icb.2012.6199759
dblp:conf/icb/SapkotaB12
fatcat:chxduqydjzaztjadqkdl5ddzhe
A Globally Optimal Bilinear Programming Approach to the Design of Approximate Hilbert Pairs of Orthonormal Wavelet Bases
2010
IEEE Transactions on Signal Processing
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Design machine learning algorithm for action recognition with Kinect camera Design novel feature representation for depth map data. 2009.5~2009.9 Baidu Shanghai R&D Center Designed and implemented ...
for Image Recognition Taking the local contextual information into sparse coding for a better representation of the image. 2010.8~2010.12 Automatically Removing Eyeglasses from Faces Used ASM model ...
Angiograph images with robust local image distance.
2008.10~2009.6 The Design of Complex Wavelet
...
doi:10.1109/tsp.2009.2029725
fatcat:hussqv4czfapbkcmcdi7sczwy4
Context in Robotics and Information Fusion
[chapter]
2016
Advances in Computer Vision and Pattern Recognition
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information into a framework for Information Fusion. ...
More specifically, we sketch an architectural framework which enables for an effective engineering of systems that use contextual knowledge, by including the acquisition, representation, and use of contextual ...
Acknowledgements This work was supported by ONRG Grant N62909-14-1-N061.
References ...
doi:10.1007/978-3-319-28971-7_25
fatcat:46norwhhobdjndxvlarzyxuepm
A Multi-level Contextual Model for Person Recognition in Photo Albums
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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Our new framework enables efficient use of these complementary multi-level contextual cues to improve overall recognition rates on the photo album person recognition task, as demonstrated through state-of-theart ...
By exploiting this shared contextual information, we are able to reduce the identity search space and exploit higher intra-personal appearance consistency within photo groups. ...
Research reported in this publication was partly supported by the National Institute Of Nursing Research of the National Institutes of Health under Award Number R01NR015371. ...
doi:10.1109/cvpr.2016.145
dblp:conf/cvpr/LiB0SH16
fatcat:tdqorm3phnhczignxtvddregt4
A Novel Multi-Model Decision Fusion Network for Object Detection in Remote Sensing Images
2019
Remote Sensing
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First, a contextual information fusion sub-network is designed to fuse both local contextual features and object-object relationship contextual features so as to deal with the problem of the diversity ...
Object detection in optical remote sensing images is still a challenging task because of the complexity of the images. ...
Contextual Information Fusion Contextual information is advantageous to various visual recognition tasks [18, 20, 27, [46] [47] [48] [49] [50] [51] [52] [53] , such as object detection. ...
doi:10.3390/rs11070737
fatcat:fn32pi4et5e73evfk2qs7wj4ri
Integrating multi-stage depth-induced contextual information for human action recognition and localization
2013
2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)
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First, depth image is combined with grayscale image for more robust human subject and object detection. ...
In this paper, we propose a novel action recognition and localization framework which effectively fuses depth-induced contextual information from different levels of the processing pipeline for understanding ...
Section III presents the proposed multi-stage depth information fusion framework for action recognition and localization. ...
doi:10.1109/fg.2013.6553756
dblp:conf/fgr/NiPLLM13
fatcat:jnxm2wtbnfgqbmu6x3dphjliju
Methods of AI for Multimodal Sensing and Action for Complex Situations
2019
The AI Magazine
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Instead of emulating human situation understanding, machines can amplify intelligence by accessing large amounts of data, filtering unimportant information, computing relevant context, and prioritizing ...
We propose a decisions-to-data multimodal sensor and action through contextual agents (human or machine) that seek, combine, and make sense of relevant data. ...
Deep Multimodal Image Fusion Analysis.
( A) Swarm of sensors. (B) Imagery showing number of pixels for object recognition. ...
doi:10.1609/aimag.v40i4.4813
fatcat:mfjsclsdsjek7blltazmtwftd4
Multimodal metadata fusion using causal strength
2005
Proceedings of the 13th annual ACM international conference on Multimedia - MULTIMEDIA '05
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We fuse contextual information (location, time, and camera parameters), visual content (holistic and local perceptual features), and semantic ontology in a synergistic way. ...
We propose a probabilistic framework that uses influence diagrams to fuse metadata of multiple modalities for photo annotation. ...
Acknowledgement The first two authors are supported by NSF grants Career IIS-0133802, ITR IIS-0133802 and UC Discovery Grant dig03-10159. ...
doi:10.1145/1101149.1101338
dblp:conf/mm/WuCT05
fatcat:dmdeapenrnhyddkkufgbtngvu4
Context-Aware Attention Network for Human Emotion Recognition in Video
2020
Advances in Multimedia
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Recognition of human emotion from facial expression is affected by distortions of pictorial quality and facial pose, which is often ignored by traditional video emotion recognition methods. ...
On the other hand, context information can also provide different degrees of extra clues, which can further improve the recognition accuracy. ...
Acknowledgments is work was supported by the scientific and technological research project of Henan Provincial Science and Technology Department (182102310919) and the Foundation of He'nan Educational ...
doi:10.1155/2020/8843413
fatcat:jt6ufgxbyjdq7fefy2n5cnvci4
Use of context in vision processing
2009
Proceedings of the Workshop on Use of Context in Vision Processing - UCVP '09
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a vision processing system can gain through the utilization of contextual information. ...
The Workshop on Use of Context in Vision Processing (UCVP) aims to address the opportunities in incorporating contextual information in algorithm design for single or multi-camera vision systems, as well ...
The organizers of UCVP 2009 are satisfied with the workshop and hope it will be the start of a workshop series on this topic.
ACKNOWLEDGMENTS ...
doi:10.1145/1722156.1722157
fatcat:hdsf4nljq5chfgqolgos6kgwsq
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