A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
Detection of Logos of Moving Vehicles under Complex Lighting Conditions
2022
Applied Sciences
Preserved Fulltext
For images acquired in complex light conditions, adaptive image enhancement is used to improve the accuracy of car sign detection by more than 2%; for the problems of multi-scale and detection speed of ...
This study proposes a method for vehicle logo detection and recognition to detect missing and inaccurate vehicle marks under complex lighting conditions. ...
As shown in Table 2 , YOLOF outperforms the Faster R-CNN model for multi-scale vehicle logo image detection [26, 43] ; compared with the original YOLOF algorithm, the accuracy of the improved YOLOF algorithm ...
doi:10.3390/app12083835
fatcat:l3uexrlzy5h6vht47bqp3vbddq
An Effective and Robust Detector for Logo Detection
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
In detail, we extend detectoRS algorithm to a cascade schema with an equalization loss function, multi-scale transformations, and adversarial data augmentation. ...
To overcome this problem, a novel logo detector based on the mechanism of looking and thinking twice is proposed in this paper for robust logo detection. ...
More concretely, we extend detectoRS algorithm to a cascade schema with an equalization loss function, multi-scale transforms, and adversarial data augmentation. ...
arXiv:2108.00422v1
fatcat:htk4wjkg2na5lbxh3rydlb5ooq
Single Stage Vehicle Logo Detector Based on Multi-Scale Prediction
2020
IEICE transactions on information and systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Experimental results show that the accuracy and speed of the detection algorithm are improved for the object of small sizes. key words: vehicle logo detection, VLD-45-S, single-stage detector, multiscale ...
In order to solve the problem that the training samples are scarce, our work in this paper is improved by constructing the data of a vehicle logo (VLD-45-S), multistage pre-training, multi-scale prediction ...
Since the size of vehicle logo is so small compared to the target of ImageNet, we have to adapt the network of feature extraction to representation the object of vehicle logo. ...
doi:10.1587/transinf.2020edp7088
fatcat:rmi4pyxe5nczzgq6sz6k7yfopq
A Novel Robust Watermarking Technique Based on Nonsubsampled Contourlet Transform and SVD
2011
The International Journal of Multimedia & Its Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
The NSCT can give the asymptotic optimal representation of the edges and contours in image by virtue of the characteristics of good multi resolution shift invariance and multi directionality. ...
KEYWORDS Image watermarking, nonsubsampled contourlet transform, SVD, visual watermark logo. ...
A watermarking algorithm consists of watermark structure, an embedding algorithm and extraction or detection algorithm. ...
doi:10.5121/ijma.2011.3104
fatcat:hagd2vrdo5gajk5dujhlciypaa
A Robust Watermarking Technique based on Nonsubsampled Contourlet Transform and SVD
2011
International Journal of Computer Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The NSCT can give the asymptotic optimal representation of the edges and contours in image by virtue of the characteristics of good multi resolution shift invariance and multi directionality. ...
KEYWORDS Image watermarking, nonsubsampled contourlet transform, SVD, visual watermark logo. ...
A watermarking algorithm consists of watermark structure, an embedding algorithm and extraction or detection algorithm. ...
doi:10.5120/2032-2642
fatcat:mo53bgnurrds3on3rsssymg2ty
A Deep One-Shot Network for Query-based Logo Retrieval
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2019 pre-print arXiv:1811.01395v3 fatcat:mncppebjj5ev3ltsec7hpcrsimOther Versions
Feature matching between the latent query representation and multi-scale feature maps of segmentation branch using simple concatenation operation followed by 1x1 convolution layer makes our model scale-invariant ...
Logo detection in real-world scene images is an important problem with applications in advertisement and marketing. ...
In the meantime, several object detection algorithms have been introduced, namely, R-CNN [13] , Fast R-CNN [14] and Faster R-CNN [4] which have been successfully adapted for the logo detection problem ...
arXiv:1811.01395v4
fatcat:45e44rw3i5a3pddklcsmpt56pq
Character index
2011
2011 IEEE International Conference on Multimedia and Expo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Yike Ma PARALLEL DEBLOCKING FILTER FOR H.264/AVC IMPLEMENTED ON TILE64 PLATFORM REAL-TIME SYNCHRONISATION OF MULTIMEDIA STREAMS IN A LARGE-SCALE, REAL-TIME LOGO RECOGNITION IN BROADCAST MULTI-MODALITY ...
IN H.264/AVC ENCODER Mahmoud Reza Hashemi A NEW SCALABLE MULTI-VIEW VIDEO CODING CONFIGURATION FOR AN OVERCOMPLETE PYRAMID REPRESENTATION FOR IMPROVED GSM IMAGE DENOISING Yifeng He OPTIMAL SOURCE RATE ...
doi:10.1109/icme.2011.6011827
fatcat:wjy7yvkmvbbf3hj4wbyjapx5gu
Improving Small Object Proposals for Company Logo Detection
2017
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval - ICMR '17
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2017 pre-print arXiv:1704.08881v1 fatcat:mw5tuvcjrjh7dgyvlwqczsbr6m
Faster R-CNN is such an approach for object detection which combines both stages into a single pipeline. In this paper we apply Faster R-CNN to the task of company logo detection. ...
Based on theoretical considerations, we introduce an improved scheme for generating anchor proposals and propose a modification to Faster R-CNN which leverages higher-resolution feature maps for small ...
Especially, we would like to express our gratitude for their help in re-annotating the FlickrLogos dataset. ...
doi:10.1145/3078971.3078990
dblp:conf/mir/EggertZBL17
fatcat:ejqqnntt7jdapftiobfvlnne6a
Logo Detection Based on FCM Clustering Algorithm and Texture Features
[chapter]
2020
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Specifically we propose a novel approach for administrative logo detection based on a fuzzy classification with a multi-fractal texture feature, capable of automatically characterizing texture measures ...
Logo detection methods usually depend on logo shapes and need for training data or a-priori information on the processed images. This limits their effectiveness to real-world applications. ...
In addition, for logos contained near-scattered components, an ordinary extraction algorithm is typically unable to detect all these components. ...
doi:10.1007/978-3-030-51935-3_35
fatcat:4nxincjzsjbgjfioimubiypyca
An Adaptive Digital Image Watermarking Algorithm Based on Morphological Haar Wavelet Transform
2012
Physics Procedia
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In the algorithm, the original image and the watermark image are decomposed with multi-scale morphological wavelet transform respectively. ...
In this paper, we propose an adaptive digital image watermarking algorithm based on non-linear wavelet transform--Morphological Haar Wavelet Transform. ...
The simulation shows that our algorithm has better capacity of adaptive, robustness and security. ...
doi:10.1016/j.phpro.2012.03.127
fatcat:3fxiwkeg5ncpnmjn5pal5bo4mi
Front Matter: Volume 10615
2018
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon. ...
SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model. A unique citation identifier (CID) number is assigned to each article at the time of publication. ...
sparse representation [10615-80]
10615 35
Adaptive structured dictionary learning for image fusion based on group-sparse-
representation [10615-215]
10615 36
An efficient method for the fusion of ...
doi:10.1117/12.2316542
fatcat:tdaw76jq6nehpnttiga2lcuhna
Multi-perspective cross-class domain adaptation for open logo detection
2020
Computer Vision and Image Understanding
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
To generalise and transfer knowledge of fully supervised logo classes to other 1-shot icon supervised classes, we propose a Multi-Perspective Cross-Class (MPCC) domain adaptation method. ...
Existing logo detection methods mostly rely on supervised learning with a large quantity of labelled training data in limited classes. ...
Commonly, these methods focus on supervised learning with the need for accurately labelling fine-grained object- To scale up the learning algorithms, Su et al. (2017a) propose to leverage the rich web ...
doi:10.1016/j.cviu.2020.103156
fatcat:o42uzsff2rd4rkpjurvugcpn6a
The Multi-scale Microstructure Binary Pattern Extraction and Learning for Image Representation
2019
IET Image Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In this study, an image representation method based on multi-scale microstructural binary pattern extraction is proposed, which uses zero-mean microstructural pattern binarisation. ...
, and representation ability. ...
An example of ZMMPB pattern extraction for performing 1 × 1 scale blocking of an image is shown in Fig. 2 . ...
doi:10.1049/iet-ipr.2018.6358
fatcat:ro7rt7bap5d2hcfyq5ltof3zqu
Multi-object image retrieval based on shape and topology
2006
Signal processing. Image communication
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf.
For this purpose, we adapt a continuous optimization approach to solve the MSSI problem and a very effective dynamic programming algorithm to measure the similarity between the attributed nodes. ...
We aim at developing a geometry-based retrieval system for multi-object images. ...
Anil Jain for providing the logo images. We also thank the anonymous reviewers for their valuable comments. ...
doi:10.1016/j.image.2006.09.002
fatcat:ovcbbuxaxfefdjyh2jmqvi4mjy
Robust Vehicle Speed Measurement Based on Feature Information Fusion for Vehicle Multi-Characteristic Detection
2021
Entropy
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
An improved ECA-YOLOv4 object detection algorithm based on both feature information fusion and cross channel interaction is proposed, which improves the performance of YOLOv4 for vehicle multi-characteristic ...
A vehicle multi-characteristic dataset is constructed. With this dataset, seven CNN-based modern object detection algorithms are trained for vehicle multi-characteristic detection. ...
algorithm based on FPN is suitable for this multi-scale varying object detection problem. ...
doi:10.3390/e23070910
fatcat:wwwxk3s3xbdxdd3ev4kbi5rap4
« Previous
Showing results 1 — 15 out of 3,738 results