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Spatial HOG based TV logo detection
2013
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service - ICIMCS '13
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Our TV logo detecting method takes the spatial information of all matching patches as a whole, and presents a new descriptor SHOG (Spatial HOG) to formulate the spatial distribution. ...
The proposed geometry voting method achieves fast locating TV logo with geometry verification in the step of detection, which is also competent for the detection of semi-transparent and hollow TV logos ...
The other is single-frame based TV logo detection. Most existing approaches consider TV logo as the static region in a video sequence. ...
doi:10.1145/2499788.2499805
dblp:conf/icimcs/ZhangZLZLL13
fatcat:jgy7pwtzbnb3tcoar65m3gmvym
Real-time TV logo detection based on color and HOG features
2013
2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
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Unlike most existing TV logo detection methods, the proposed algorithm makes no assumption on temporal motion, spatial location, or any other visual view constrains on TV logos. ...
This paper proposes a real-time TV logo detection algorithm that can detect logos embedded in TV videos or in the real-world videos/images. ...
In addition to static logos, background is assumed to be non-textured. 2) Spatial information based detection. Ahmet Ekinet al. use purely spatial information to detect TV logo robustly [2] . ...
doi:10.1109/bmsb.2013.6621685
dblp:conf/bmsb/YeZZM13
fatcat:pp5tkszj6bchnjbhqj6pcnjkhq
An Implementation of Effective Logo Matching and Detection using Multiple Descriptors to Enhance the Resolution
2017
International Journal of Computer Applications
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There is an algorithm which is implemented for logo detection is based on partial spatial context and spatial spectral saliency (SSS). ...
Two dimensional global descriptors are used for logo matching and reorganization. The concept of Shape descriptors based on Shape context and the global descriptors are based on the logo contours. ...
Mohite Patil proposed a solution for logo recognition based on context dependent similarity that directly incorporates the spatial contact of local features. ...
doi:10.5120/ijca2017913200
fatcat:bgkrryuljbeolg4jyhd6fpqulq
A Well-Behaved TV Logo Recognition Method Using Heuristic Optimality Checked Basis Pursuit Denoising
[chapter]
2015
Lecture Notes in Computer Science
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A well-behaved TV logo recognition method using heuristic optimality checked basis pursuit denoising is firstly proposed in the paper. ...
Since video logos are embedded into complex background and normally hollow or translucent, traditional video logo recognition techniques are facing issues such as difficulties in extracting image features ...
Spatial histogram of gradient was extracted from TV logos which were normalized to 64 × 64 for the HOG-based method. ...
doi:10.1007/978-3-319-21978-3_46
fatcat:7gf6jih5y5bulg2zyisq344koa
Automatic TV Logo Identification for Advertisement Detection without Prior Data
2021
Applied Sciences
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This paper proposes a flexible method for processing TV broadcasting content aiming at detecting channel logos, and consequently advertising segments, without using prior data about the channel or content ...
In this context, detecting the presence of the channel logo has been seen in the state-of-the-art as a good indicator. ...
For instance, in [14] spatial information is coupled with HOG to describe the channel logos of a database in order to define a library of template logos. ...
doi:10.3390/app11167494
fatcat:nhebpjhrxjawvphxasxmkhvcuq
Official logo recognition based on multilayer convolutional neural network model
2022
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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The paper proposes a multi-layer convolutional neural network (CNN) to classify and recognize these official logos by train the CNN model on several logos. ...
In this paper the issue has been raised is classification of logo of formal directors in Iraqi government. ...
Hassanzadeh and Pourghassem [9] , a method based on handgraft features, where a new spatial feature extraction for logo recognition proposed using k-nearest neighbor (KNN) to detection and recognition ...
doi:10.12928/telkomnika.v20i5.23464
fatcat:zo4quqrfofeldevdvnw2jmuxme
Deep Learning for Logo Detection: A Survey
[article]
2022
arXiv
pre-print
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When logos are increasingly created, logo detection has gradually become a research hotspot across many domains and tasks. ...
This paper reviews the advance in applying deep learning techniques to logo detection. ...
Then HOG and KNN algorithms extract logo features and classify logos. 2) Deep Learning-based Methods: In recent years, with the continuous development of deep learning, deep learning based solutions have ...
arXiv:2210.04399v1
fatcat:wqy5velg3bdntpzlhz2ga3cvb4
A Review on Classification and Comparison of Automatic Logo Based Document Image Retrieval Methods and other Applications
2017
International Journal of Applied Engineering Research
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In this paper we provided an effective categorization of vast number of methods, techniques, transforms, algorithms, approaches and schemes available for the purpose of logo detection in various image ...
In [14] He Jingmeng, Xie Yuxiang, Luan Xiado, Niu Xiao and Zhang Xin used SURF and Bag-of-Words method for TV Logo detection and recognition with the support of KNN and SVMs. In [15] Mrs. ...
In [17] Chinmoy Biswas and Joydeep Mukherjee used SIFT, SURF and HOG descriptors for the logo recognition. In [18] In [20] Prof. ...
doi:10.37622/ijaer/12.24.2017.15458-15463
fatcat:snucumgf7zbp7pxirc7dwezcya
IBM Research TRECVID-2010 Video Copy Detection and Multimedia Event Detection System
2010
TREC Video Retrieval Evaluation
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Content-Based Copy Detection: The focus of our copy detection system this year was fusing three types of complementary fingerprints: a keyframe-based color correlogram, SIFTogram (bag of visual words), ...
and a GIST-based fingerprint. ...
We chose these runs for submission based on the performance of the component features on the TV-2009 data, shown in figures 6 and 7. ...
dblp:conf/trecvid/HillHNSXHMOZ10
fatcat:egljeuvkzzbtlksnkct2wl3gay
Singlets: Multi-resolution Motion Singularities for Soccer Video Abstraction
2017
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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This descriptor is based on optical flow singularities tracked along the video. ...
We correctly detect 88.2% of saliant moments using this database. ...
In order to stabilize spatial histograms through time, we sum spatial histograms within a temporal window of size 10 frames. ...
doi:10.1109/cvprw.2017.15
dblp:conf/cvpr/BlancLP17
fatcat:g7yevnrbzbaxzoxla67ncinrqa
Instance search retrospective with focus on TRECVID
2017
International Journal of Multimedia Information Retrieval
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In parallel more low-level tasks such as shot boundary detection and content-based copy detection had been evaluated over several years. ...
This run was based on a straightforward BoVW architecture with spatial verification. ...
doi:10.1007/s13735-017-0121-3
pmid:28758054
pmcid:PMC5531298
fatcat:3khp2cscmbhohipfx246gspqlq
Semantic contours from inverse detectors
2011
2011 International Conference on Computer Vision
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Inverse detectors for HOG-based detectors A HOG-based object detector works in the following way. Given a detection window R, the window is divided into spatial bins or cells. ...
Most common HOG based object detectors however involve a non-linear contrast normalization step before the linear classifier. ...
doi:10.1109/iccv.2011.6126343
dblp:conf/iccv/HariharanABMM11
fatcat:yw3vxxqs4jewblbqn7t7ofjo3u
Semantic Based Sport Video Browsing
[chapter]
2012
Semantics in Action - Applications and Scenarios
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Scene change detection and logo detection approach consists of the following three steps [3, 56] : (1) logo template detection based on the fact that different starting or ending logo transitions, (2) ...
logo transitions detection in the video program using the logo template based on the probability models of pixel-wise intensitybased mean-square difference and color histogram-based mean-square difference ...
Semantic Based Sport Video Browsing, Semantics in Action -Applications and Scenarios, Dr. ...
doi:10.5772/37134
fatcat:zrwnv3c3indlxco3itecnq5a6a
The AXES submissions at TRECVID 2013
2013
TREC Video Retrieval Evaluation
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The AXES project participated in the interactive instance search task (INS), the semantic indexing task (SIN), the multimedia event detection task (MED) and the multimedia event recounting task (MER) for ...
While the HOG [9] descriptor encodes the spatial intensity gradient orientation, the HOF and MBH descriptors are based on the optical flow. ...
On the fly Logo / Place Retrieval The aim of the logo / place recognition system is to quickly retrieve key-frames which contain queried specific logos or places based on their visual appearance. ...
dblp:conf/trecvid/AlyACDFHMOOPPRS13
fatcat:hykqk3q56zeyjhvbrmuuhgggje
Front Matter: Volume 10615
2018
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
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. The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters. These two-number sets start with 00, 01, 02, 03, ...
detection based on color probability model and fuzzy clustering 10615 09 Fast object detection algorithm based on HOG and CNN 10615 0A Fabric defect detection based on faster R-CNN 10615 0B Border-oriented ...
. of SPIE Vol. 10615 1061501-12 10615 3Z
Using infrared HOG-based pedestrian detection for outdoor autonomous searching UAV
with embedded system [10615-210]
10615 40
Proper use of colour schemes for ...
doi:10.1117/12.2316542
fatcat:tdaw76jq6nehpnttiga2lcuhna
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