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Scalable logo recognition in real-world images

Stefan Romberg, Lluis Garcia Pueyo, Rainer Lienhart, Roelof van Zwol
2011 Proceedings of the 1st ACM International Conference on Multimedia Retrieval - ICMR '11  
In this paper we propose a highly effective and scalable framework for recognizing logos in images.  ...  Furthermore, we propose a cascaded index for scalable multi-class recognition of logos.  ...  Otherwise the image is considered to show no logo. DATASET For a realistic evaluation of our proposed approach a large collection of photos in a real world environment is required.  ... 
doi:10.1145/1991996.1992021 dblp:conf/mir/RombergPLZ11 fatcat:hbxbayl4tbaztnqcermylamhpq

Individualized matching based on logo density for scalable logo recognition

Yuan Zhang, Shuwu Zhang, Wei Liang, Qinzhen Guo
2014 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Index Terms-individualized matching, logo density, logistic function, scalable logo recognition  ...  Finally, we present a fast recognition algorithm based upon bag-of-words model to realize scalable logo recognition.  ...  Interest points and local descriptors appear much more appropriate to support detection and recognition of graphic logos in real world images, like SIFT [14] and SURF [15] .  ... 
doi:10.1109/icassp.2014.6854418 dblp:conf/icassp/ZhangZLG14 fatcat:gznqrikpq5gnthjuiydr74z5oe

A Review on Advanced Mechanism in Learning and Recognition of Ops from Weakly Labeled Street View Images

Vaishali A. Mahale, Prashant M. Yawalkar
2016 IJARCCE  
For addressing the problem of real-world OPS learning and recognition, was developed a probabilistic framework based on the distributional clustering, in order to exploit the distributional information  ...  Learning OPS images for more accurate recognitions and less false alarms.  ...  logos appearing in real world scenes.  ... 
doi:10.17148/ijarcce.2016.5130 fatcat:6hja7zef4na4tnjtpylssqynte

Open Logo Detection Challenge [article]

Hang Su, Xiatian Zhu, Shaogang Gong
2018 arXiv   pre-print
OpenLogo contains 27,083 images from 352 logo classes, built by aggregating/refining 7 existing datasets and establishing an open logo detection evaluation protocol.  ...  In this work, we introduce a more realistic and challenging logo detection setting, called Open Logo Detection.  ...  Introduction Logo detection in unconstrained scene images is crucial for a variety of real-world vision applications, such as brand trend prediction for commercial research and vehicle logo recognition  ... 
arXiv:1807.01964v3 fatcat:ih6tgdepbjcctfgj4hrvppueg4

Logo Detection Using Deep Learning with Pretrained CNN Models

S. Sahel, M. Alsahafi, M. Alghamdi, T. Alsubait
2021 Engineering, Technology & Applied Science Research  
In this study, the FlickrLogos-32 dataset was used, which is a common public dataset for logo detection and brand recognition from real-world product images.  ...  In this work, pre-trained object detection models are utilized in order to enhance the performance of logo detection tasks when only a portion of labeled training images taken in truthful context is obtainable  ...  However, this produces the problem of limited ability to be scalable to dynamic applications in the real world.  ... 
doi:10.48084/etasr.3919 fatcat:trzgoafvive4phizxa5msgti6y

Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications

Jia Wu, Shirui Pan, Chuan Zhou, Gang Li, Wu He, Chengqi Zhang
2018 Complexity  
However, many data objects in real-world applications, such as chemical compounds in biopharmacy, brain regions in brain health data, users in business networks, and time-series information in medical  ...  Empirical studies on a real-world dataset from Sina Weibo demonstrate the superiority of the proposed model.  ...  Acknowledgments The Guest Editorial Team would like to express their gratitude to all the authors for their interest in selecting this special issue as a venue for their scholarly work dissemination.  ... 
doi:10.1155/2018/7861860 fatcat:6mc7cqtqzjcjlghqbmlhb5hifa

Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification

Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Haishuai Wang, Shuqiang Jiang
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
Compared with other types of object images, the real-world logo images have larger variety in logo appearance and more complexity in their background.  ...  To support efforts towards scalable logo classification task, we have curated a dataset, Logo-2K+, a new large-scale publicly available real-world logo dataset with 2,341 categories and 167,140 images.  ...  ), and in part by Shandong science and technology plan project (J17KB177).  ... 
doi:10.1609/aaai.v34i04.6085 fatcat:kutek4vpwng3bppb4pto4elwby

Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification [article]

Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Haishuai Wang, Shuqiang Jiang
2019 arXiv   pre-print
Compared with other types of object images, the real-world logo images have larger variety in logo appearance and more complexity in their background.  ...  To support efforts towards scalable logo classification task, we have curated a dataset, Logo-2K+, a new large-scale publicly available real-world logo dataset with 2,341 categories and 167,140 images.  ...  In order to perform scalable logo classification, we construct a large-scale logo dataset, Logo-2K+, which covers a diverse range of logo classes from real-world logo images.  ... 
arXiv:1911.07924v1 fatcat:czpbdy2mqjaediztr7xjl2yiiy

WebLogo-2M: Scalable Logo Detection by Deep Learning from the Web

Hang Su, Shaogang Gong, Xiatian Zhu
2017 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)  
scalable to real-world applications.  ...  Specifically, we propose a novel incremental learning approach, called Scalable Logo Self-Training (SLST), capable of automatically self-discovering informative training images from noisy web data for  ...  However, all these existing models are not scalable to real world deployments due to two stringent requirements: (1) Accurately labelled training data per logo class; (2) Strong object-level bounding box  ... 
doi:10.1109/iccvw.2017.41 dblp:conf/iccvw/SuGZ17 fatcat:kc6p6kdrrrh7jbn6vec7sekf4y

Scalable Deep Learning Logo Detection [article]

Hang Su, Shaogang Gong, Xiatian Zhu
2018 arXiv   pre-print
scalable to real-world dynamic applications.  ...  Specifically, we propose a novel incremental learning approach, called Scalable Logo Self-co-Learning (SL^2), capable of automatically self-discovering informative training images from noisy web data for  ...  However, all these existing models are not scalable to real world deployments due to two stringent requirements: (1) Accurately labelled training data per logo class; (2) Strong object-level bounding box  ... 
arXiv:1803.11417v2 fatcat:znlkivypxfdunm7iu3fmrsondu

Efficient logo retrieval through hashing shape context descriptors

Marçal Rusiñol, Josep Lladós
2010 Proceedings of the 8th IAPR International Workshop on Document Analysis Systems - DAS '10  
We propose an efficient queried-by-example retrieval system which is able to retrieve logos by similarity from large databases of logo images.  ...  In this paper we present a method for organizing and indexing logo digital libraries like the ones of the patent and trademark offices.  ...  To conduct the experimental results, we will focus on the large collection of real-world complex document images Tobacco-800 [26, 14] , which is public available and has a set of ground-truthed logos  ... 
doi:10.1145/1815330.1815358 dblp:conf/das/RusinolL10 fatcat:6spwkxswfzgf7cvvb6uakfiola

Scalable Object Detection for Stylized Objects [article]

Aayush Garg, Thilo Will, William Darling, Willi Richert, Clemens Marschner
2017 arXiv   pre-print
In this paper, we present a two-layer object detection method for brand logos and other stylized objects for which prototypical images exist. It can scale to large numbers of unique classes.  ...  recognition.  ...  Dynamic update of the index It is just impossible to capture every real world logo and train the model over it.  ... 
arXiv:1711.09822v2 fatcat:elmm22osfnes7ck6lyh3vg4poi

Character index

2011 2011 IEEE International Conference on Multimedia and Expo  
LOGO RECOGNITION IN BROADCAST VIDEOS Md.  ...  SYNCHRONISATION OF MULTIMEDIA STREAMS IN A LARGE-SCALE, REAL-TIME LOGO RECOGNITION IN BROADCAST MULTI-MODALITY LIKELIHOOD BASED PARTICLE FILTERING FOR 2-D DIRECTION OF ARRIVAL TRACKING USING A SINGLE  ... 
doi:10.1109/icme.2011.6011827 fatcat:wjy7yvkmvbbf3hj4wbyjapx5gu

Recognizing Thousands of Legal Entities through Instance-based Visual Classification

Valentin Leveau, Alexis Joly, Olivier Buisson, Pierre Letessier, Patrick Valduriez
2014 Proceedings of the ACM International Conference on Multimedia - MM '14  
identity automatically built from web images.  ...  This paper considers the problem of recognizing legal entities in visual contents in a similar way to named-entity recognizers for text documents.  ...  CONCLUSION The work reported in this paper was a first attempt towards deploying real-world visual-based entity recognizers at the web scale.  ... 
doi:10.1145/2647868.2655038 dblp:conf/mm/LeveauJBLV14 fatcat:nocedugyrfh2tg4yzhtcijd2vi

Logo Recognition with the Use of Deep Convolutional Neural Networks

A. Alsheikhy, Y. Said, M. Barr
2020 Engineering, Technology & Applied Science Research  
In this paper, the transfer leaning technique was applied to a Deep Convolutional Neural Network model to guarantee logo recognition using a small computational overhead.  ...  Unlike other object recognition tasks, logo recognition is more challenging because of the limited amount of the available original data.  ...  ACKNOWLEDGMENT The authors wish to acknowledge the approval and the support of this research study by the grant N°ENG-2019-1-10-F-8140 from the Deanship of the Scientific Research in Northern Border University  ... 
doi:10.48084/etasr.3734 fatcat:vpqcjw4nhzdmrapxmuxuzqxcwu
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