Filters








1,107 Hits in 4.9 sec

Detecting image spam using visual features and near duplicate detection

Bhaskar Mehta, Saurabh Nangia, Manish Gupta, Wolfgang Nejdl
2008 Proceeding of the 17th international conference on World Wide Web - WWW '08  
The second solution offers a novel approach for near duplication detection in images.  ...  SVMs (Support Vector Machines) are used to train classifiers using judiciously decided color, texture and shape features.  ...  ), near duplicates should be easy to detect.  ... 
doi:10.1145/1367497.1367565 dblp:conf/www/MehtaNGN08 fatcat:xxqyvd33wfg7nir4267s3327my

A Method For Detecting Duplicate And Near-Duplicate Images Penetration

Dr. Ramesh Shahabadkar, Dr. Ramesh Shahabadkar1*, Dr S Sai Satyanarayana Reddy, P. Devika
2018 International Journal of Engineering & Technology  
A method for detection of duplicate or near-duplicate image penetration from images in the similar group by distribution of color and other attributes of the image.  ...  Each couple of images penetration with at least one distictive scenary is mutual; the distictive scenary of each image penetration is allied to normalize whether the couple is duplicates or near-duplicates  ...  ZheWang proposes image spam detection by using near-duplicate detection to detect spam images then multiple image spam filters are used to detect spam images that look alike spam caught methods.  ... 
doi:10.14419/ijet.v7i4.6.20438 fatcat:osxjoo2ngbbhfezyolxt67qa5i

MyFinder

Xin Yang, Qiang Zhu, Kwang-Ting Cheng
2009 Proceedings of the seventeen ACM international conference on Multimedia - MM '09  
In this paper, we introduce MyFinder, an image near-duplicate detection system for large image collections.  ...  Efficient near-duplicate detection is one of the required technologies for various applications.  ...  Identifying duplicates can therefore address the image spam detection problem.  ... 
doi:10.1145/1631272.1631495 dblp:conf/mm/YangZC09 fatcat:z4cpl3cklbh6ljjqo6xfm2lheu

On robust image spam filtering via comprehensive visual modeling

Jialie Shen, Robert H. Deng, Zhiyong Cheng, Liqiang Nie, Shuicheng Yan
2015 Pattern Recognition  
In this paper, we report a novel system called RoBoTs (Robust BoosTrap based spam detector) to support accurate and robust image spam filtering.  ...  The system is developed based on multiple visual properties extracted from different levels of granularity, aiming to capture more discriminative contents for effective spam image identification.  ...  Several near-duplicate detection based image spam filters have been developed. Wang et al.  ... 
doi:10.1016/j.patcog.2015.02.027 fatcat:7bxwrdqm4zggncvpn3dj7ifdwi

Ranking News-Quality Multimedia

Gonçalo Marcelino, Ricardo Pinto, João Magalhães
2018 Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval - ICMR '18  
The framework, composed of two parts, is based on a ranking algorithm tuned to rank professional media highly and a visual SPAM detection module designed to filter-out low-quality media.  ...  The core ranking algorithm is leveraged by aesthetic, social and deep-learning semantic features.  ...  The content that is not discarded by the Visual SPAM filter is then processed by the duplicate and near-duplicate image detection algorithms. • News-quality ranking.  ... 
doi:10.1145/3206025.3206053 dblp:conf/mir/MarcelinoPM18 fatcat:mfugfbue2zfpxptrubq5nszqp4

Detecting image spam using local invariant features and pyramid match kernel

Haiqiang Zuo, Weiming Hu, Ou Wu, Yunfei Chen, Guan Luo
2009 Proceedings of the 18th international conference on World wide web - WWW '09  
In this paper, we extract local invariant features of images and run a one-class SVM classifier which uses the pyramid match kernel as the kernel function to detect image spam.  ...  Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters.  ...  [3] exploited visual features, such as color, texture and shape to train a SVM classifier combining near duplicate detection and gained promising results.  ... 
doi:10.1145/1526709.1526921 dblp:conf/www/ZuoHWCL09 fatcat:tgw5bz5yhbhc5jthqdg7264xpe

A survey and experimental evaluation of image spam filtering techniques

Battista Biggio, Giorgio Fumera, Ignazio Pillai, Fabio Roli
2011 Pattern Recognition Letters  
It consists in embedding the spam message into an attached image, which is often randomly modified to evade signature-based detection, and obfuscated to prevent text recognition by OCR tools.  ...  In this paper we give a comprehensive survey and categorisation of computer vision and pattern recognition techniques proposed so far against image spam, and make an experimental analysis and comparison  ...  Stern for useful discussions, and M. Dredze for making his data set publicly available and sending us his code for feature extraction.  ... 
doi:10.1016/j.patrec.2011.03.022 fatcat:s6y5g4wsqjco3ab4zcbz7ud5tu

Evaluation of spam detection and prevention frameworks for email and image spam

Pedram Hayati, Vidyasagar Potdar
2008 Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services - iiWAS '08  
This paper aims to analyse existing works in two different categories of spam domains -email spam and image spam to gain a deeper understanding of this problem.  ...  Excessive amounts of spam are not only reducing the quality of information available on the Internet but also creating concern amongst search engines and web users.  ...  Visual feature and near duplicate image spam detection. 2008. [19] Near duplicate and visual feature are two supervised image spam detection methods that are addressed here.  ... 
doi:10.1145/1497308.1497402 dblp:conf/iiwas/HayatiP08 fatcat:j3qm2maj7bbitl36fs3kfpfxpe

Analysis of an Image Spam in Email Based on Content Analysis

Meghali Das, Vijay Prasad
2014 International Journal on Natural Language Computing  
The system will analyze the image content and classify the embedded image as spam or legitimate hence classify the email accordingly.  ...  The main idea behind this project is to design a spam detection system.  ...  ., "Filtering image spam with near-duplicate Fumera Giorgio, Pillai Ignazio, Roli Fabio, "Spam Filtering Based On The Analysis Of Text -2720, 2006 tic System To Detect And Recognize Text In Images, Pattern  ... 
doi:10.5121/ijnlc.2014.3313 fatcat:adlavadhhba73gb3luscbp2mma

Detecting Image Spam Using Image Texture Features

Basheer Al-Duwairi, Ismail Khater, Omar Al-Jarrah
2013 International Journal for Information Security Research  
In this paper, we propose an image spam filtering technique, called Image Texture Analysis-Based Image Spam Filtering (ITA-ISF), that makes use of low-level image features for image characterization.  ...  We evaluate the performance of several machine learning-based classifiers and compare their performance in filtering image spam based on lowlevel image texture features.  ...  The visual features based and near duplicated detection approach proposed in [15] reports a prediction accuracy of over 95% for different datasets. Dredze et al.  ... 
doi:10.20533/ijisr.2042.4639.2013.0040 fatcat:z7mvevs6nzdh7pvyop4cnvabmq

Trends in Combating Image Spam E-mails [article]

Mohammadi Akheela Khanum, Lamia Mohammed Ketari
2012 arXiv   pre-print
Therefore, image spam detection techniques should be scalable and adaptable to meet the future tactics of the spammers.  ...  In this paper, we examine the motivations and the challenges in image spam filtering research, and we review the recent trends in combating image spam e-mails.  ...  [12] present two techniques for image spam detection. The first uses the visual features such as the color, texture and shape of the image for classification using SVM.  ... 
arXiv:1212.1763v1 fatcat:t3urvsj2b5dkjclap6poegdyuu

A Novel Approach towards Image Spam Classification

M. Soranamageswari, C. Meena
2011 Journal of clean energy technologies  
Here we use gradient histogram is a key feature that can be exploited to improve the categorization capability. The gradient values are valuated for each pixel of an image.  ...  This unsolicited mails termed as spam occupy large storage space and bandwidth. Therefore designing an efficient spam filter is a challenging issue ahead for the future generation.  ...  Octet histogram spam mail filtering technique was described by Chun-Chao Yeh and Nai-Wei Yeh in [5] . They developed a near-duplicated mail detection scheme for spam filtering.  ... 
doi:10.7763/ijcte.2011.v3.287 fatcat:vv4edrgpare67ds7emlyk5e2g4

A Content Filtering from Spam Posts on Social Media using Weighted Multimodal Approach

Chastine Fatichah, Wildan F. Lazuardi, Dini A. Navastara, Nanik Suciati, Abdul Munif
2021 Journal of Computer Science  
The previous works on spam detection have been done to filter irrelevant content on email and social media based on text or image separately.  ...  The average accuracy of all CNN architectures using multimodal data is higher than only using image and text data separately.  ...  Ethics This article is original and contains unpublished material. The corresponding author confirms that all of the other authors have read and approved the manuscript and no ethical issues involved.  ... 
doi:10.3844/jcssp.2021.55.66 fatcat:tmza3m4llbczlavvs2fcydyova

Phishing Image Spam Classification Research Trends: Survey and Open Issues

Ovye John Abari, Nor Fazlida, Fatimah Khalid, Mohd Yunus, Noor Afiza
2020 International Journal of Advanced Computer Science and Applications  
Low-level and image metadata are the most widely used features set.  ...  The study revealed that Personal Collection, Dredze, and Spam Archives datasets are the most commonly used datasets in image spam classification research.  ...  VII RESEARCHES ON IMAGE CLASSIFICATION USING NEAR-DUPLICATE APPROACH.  ... 
doi:10.14569/ijacsa.2020.0111196 fatcat:j4c4uyz2jfftfi3o6yohgyfvem

A Comprehensive Approach to Image Spam Detection: From Server to Client Solution

Yan Gao, Alok Choudhary, Gang Hua
2010 IEEE Transactions on Information Forensics and Security  
However, most previous works of image spam detection focus on filtering the image spam on the client side.  ...  We propose a more desirable comprehensive solution which embraces both server-side filtering and client-side detection to effectively mitigate image spam.  ...  Liu and Dr. M. Yang for helpful discussions.  ... 
doi:10.1109/tifs.2010.2080267 fatcat:g4ij43a7fjhitevydyjs2svovq
« Previous Showing results 1 — 15 out of 1,107 results