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Scalable triangulation-based logo recognition
2011
Proceedings of the 1st ACM International Conference on Multimedia Retrieval - ICMR '11
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We propose a scalable logo recognition approach that extends the common bag-of-words model and incorporates local geometry in the indexing process. ...
We evaluate our approach on a large-scale logo recognition dataset with more than four thousand classes. ...
Finally, we intent to exploit the speed and scalability of the proposed approach for logo detection in videos. ...
doi:10.1145/1991996.1992016
dblp:conf/mir/KalantidisPTZA11
fatcat:fvghbgtzczaavasxefrbhna2qe
Multi-perspective cross-class domain adaptation for open logo detection
2020
Computer Vision and Image Understanding
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This restricts their scalability to a large number of logo classes subject to limited labelling budget. ...
In this work, we consider a more scalable open logo detection problem where only a fraction of logo classes are fully labelled whilst the remaining classes are only annotated with a clean icon image (e.g ...
How to use the already labelled logo detection data in a scalable manner seems a promising approach. ...
doi:10.1016/j.cviu.2020.103156
fatcat:o42uzsff2rd4rkpjurvugcpn6a
Image retrieval based on spatial context with Relaxed Gabriel Graph pyramid
2014
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Imposing the coherence of the spatial context on local features is becoming a necessity for object retrieval and recognition. ...
Motivated by the success of proximity graphs in topological decomposition, clustering, and gradient estimation, we introduce a variation on and a generalization of Delaunay Triangulation, called a Relaxed ...
INTRODUCTION The Bag-Of-Words (BOW) model based on local features has been shown to be successful in object retrieval and recognition along with its extensions [1, 2, 3, 4, 5, 6] . ...
doi:10.1109/icassp.2014.6854933
dblp:conf/icassp/WuK14a
fatcat:d3hzlcp2nzeexelce5l3z7epku
Searching visual instances with topology checking and context modeling
2013
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval - ICMR '13
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Specifically, we explore the use of (1) an elastic spatial topology checking technique based on Delaunay Triangulation (DT), and (2) a practical background context modeling method by simulating the "stare ...
Based on the Bag-of-Words model, we propose two techniques tailored for Instance Search. ...
(9053: Coca-cola logo, 9068: PUMA logo). ...
doi:10.1145/2461466.2461477
dblp:conf/mir/ZhangN13
fatcat:efo7g3f4lvhirdxcfmqojwgqxu
Compressive Change Retrieval for Moving Object Detection
[article]
2016
arXiv
pre-print
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To address the above issues, we also present a practical change detection algorithm that uses compressed bag-of-words (BoW) image representation as a scalable solution. ...
First, the retrieved reference images may frequently contain non-relevant reference images, because even state-of-the-art place-recognition techniques suffer from retrieval noise. ...
To this end, we adapt triangulation-based analysis of LG, which was originally proposed for a different application, specifically, "scalable logo recognition", in [8] . ...
arXiv:1608.02051v1
fatcat:aznjsxur4jfwfb7dwt52os5usm
Bundle min-Hashing
2013
International Journal of Multimedia Information Retrieval
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The recognition of logos in novel images is then performed by querying a database of reference images. ...
We demonstrate the benefits of these techniques for both small object retrieval and logo recognition. ...
Logo recognition Now that we have discussed visual features, vocabularies, feature bundling, re-ranking and synthetic query expansion; we present our final logo recognition system: Indexing The logo classes ...
doi:10.1007/s13735-013-0040-x
fatcat:3jzzxkfvnjbizieidjusag2kyu
Snap-and-ask
2012
Proceedings of the 20th ACM international conference on Multimedia - MM '12
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., fashion, art, food, pet, logo, and landmark) over various QA categories (e.g., factoid, definition, how-to, and opinion). ...
Figure 4 : 4 Construction of triangulation meshes based on the matching visual words between two images. The matched words are indicated with the same color. ...
This result indicates the robustness and scalability of DT. ...
doi:10.1145/2393347.2393432
dblp:conf/mm/ZhangPN12
fatcat:ipaqc6w7dbeblezxe5gouyziey
Feature Fusion by Similarity Regression for Logo Retrieval
2015
2015 IEEE Winter Conference on Applications of Computer Vision
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We propose a simple yet effective multi-feature fusion approach based on regression models for logo retrieval. ...
Logo class information from the training samples can also be included in the training process by learning an ensemble of regression models for individual logo classes. ...
We experiment with two logo datasets, FlickrL-ogo32 [22] and BelgaLogo [11] . FlickrLogo32 contains 32 brand logo classes used for logo detection, recognition and retrieval tasks. ...
doi:10.1109/wacv.2015.132
dblp:conf/wacv/YangB15
fatcat:2o52zajdgbbbrasvejochlydzi
Establishing Multi-cast Groups in Computational Robotic Materials
2012
2012 IEEE International Conference on Green Computing and Communications
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We describe our Bloom filter-based multicast communication (BMC) protocol, and report experimental results using a 48node Computational Robotic Material test-bed engaged in shape and gesture recognition ...
In previous work, we proposed a Bloom filter-based approach to label the multicast group with an approximate error-resilient multicast tag that captures the temporal and spatial characteristics of the ...
Taking advantage of the multicast group, e.g., for performing a consensus-based shape recognition, will therefore require some prior information on the size of the shape. ...
doi:10.1109/greencom.2012.74
dblp:conf/greencom/MaHFHC12
fatcat:im3locou4vgsdbrudwugvb33gu
PixSearcher: Searching Similar Images in Large Image Collections through Pixel Descriptors
[chapter]
2014
Lecture Notes in Computer Science
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These descriptors are computed based on proximity graphs that are subsets of the Delaunay triangulation. ...
These features are used for object recognition. The recognition accuracy can be improved by incorporating other image aspects such as color and texture. ...
doi:10.1007/978-3-319-14364-4_70
fatcat:mq7s2mvlg5fo5djkhjthuafpa4
Pharmapack: Mobile Fine-Grained Recognition Of Pharma Packages
2018
Zenodo
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very rich and represents a mixture of text, logos and rarely some images. ...
Additionally, this dataset corresponds to a typical production chain of consumer goods that should be well suited for future scalability in mobile recognition applications.
B. ...
doi:10.5281/zenodo.1159779
fatcat:boc4egtouna3rhtbcrqmrodzba
Second-Order Configuration of Local Features for Geometrically Stable Image Matching and Retrieval
2015
IEEE transactions on circuits and systems for video technology (Print)
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We comprehensively evaluated our approach using Flickr Logos 32, Holiday, Oxford Buildings and Flickr 100K benchmarks. ...
In this paper, we propose a Centrality-Sensitive Pyramid approach based on Delaunay triangulation for this purpose, which is described in Section V. ...
[5] proposed the use of Delaunay triangulation (DT) for this purpose. ...
doi:10.1109/tcsvt.2014.2382985
fatcat:z473eu53pjbl5oxbkldjtb5ndq
Semantic analysis of soccer video using dynamic Bayesian network
2006
IEEE transactions on multimedia
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Different from previous shot-based semantic analysis approaches, the proposed semantic analysis is frame-based for each input frame, it provides the current semantics of the event nodes as well as the ...
Based on BN/DBN, it can identify the special events in soccer games such as goal event, corner kick event, penalty kick event, and card event. ...
A knowledge-based semantic inference scheme for events recognition in sports video has been presented by three-layer semantic inference scheme [19] . ...
doi:10.1109/tmm.2006.876289
fatcat:ghg7w6swyrgnrltqgdwe2lsgpa
Instance search retrospective with focus on TRECVID
2017
International Journal of Multimedia Information Retrieval
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In the meantime commercial applications of these techniques such as logo recognition in sports TV coverage or the recognition of landmarks, wine labels, books by your mobile phone camera [7] had become ...
face recognition [68] , and object detection [22] . ...
doi:10.1007/s13735-017-0121-3
pmid:28758054
pmcid:PMC5531298
fatcat:3khp2cscmbhohipfx246gspqlq
Development of an autonomous object transfer system by an unmanned aerial vehicle based on binocular vision
2020
International Journal of Advanced Robotic Systems
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of the competition was to build a simulated tower using prefabricated components by an unmanned rotorcraft, which could be decomposed into the following four subtasks: (1) navigation and control, (2) recognition ...
Recognition. The existing algorithm for target recognition can roughly divided into two categories: one is the traditional, 11-15 the other is deep learning based. ...
Then the depth d of the target point can be figured out by the triangulation. ...
doi:10.1177/1729881420907732
fatcat:ji4u7tpsezdudferlxhtxkyi5q
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