Abstract:
Japanese comics (manga) are popular content worldwide. In order to acquire metadata from manga images, techniques automatic recognition of manga content have been studied...Show MoreMetadata
Abstract:
Japanese comics (manga) are popular content worldwide. In order to acquire metadata from manga images, techniques automatic recognition of manga content have been studied. Recently, Convolutional Neural Network (CNN) has been applied to object detection in manga images. R-CNN and Fast R-CNN generate region proposals by Selective Search. Faster R-CNN generates them using CNN layers called Region Proposal Network (RPN). Single Shot MultiBox Detector (SSD), the latest detection method, performs object classification and box adjustment for small regions in an image. These methods are effective to natural images. However, it is unclear whether such methods work properly to manga images or not, since those image features are different from natural images. In this paper, we examine the effectiveness of manga object detection by comparing Fast R-CNN, Faster R-CNN, and SSD. Here, manga objects are panel layout, speech balloon, character face, and text. Experimental results show that Fast R-CNN is effective for panel layout and speech balloon, whereas Faster R-CNN is effective for character face and text.
Date of Conference: 07-09 January 2018
Date Added to IEEE Xplore: 31 May 2018
ISBN Information:
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Cites in Papers - IEEE (42)
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1.
Ahmad Fakri San Ahmad, Farah Yasmin Abdul Rahman, Roslina Mohamad, Saiful Izwan Suliman, "Human Figure Detection based on Convolutional Neural Network (CNN) and Support Vector Machine (SVM)", 2024 IEEE 6th Symposium on Computers & Informatics (ISCI), pp.200-205, 2024.
2.
P. Likhitha, Aftab Rauf Naik, Kishan Nagesh Chari, Sukanya Dessai, Pratiksha Shetgaonkar, "SightSpeak Object detection and speech generation for visually challenged people.", 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp.1-7, 2024.
3.
Sukruth S Puranik, Siddharth R Hanamakkanavar, Anupama P Bidargaddi, Vighnesh V Ballur, Pratham T Joshi, Meena S M, Uday Kulkarni, "MobileNetV3 for Mango Leaf Disease Detection:An efficient Deep Learning Approach for Precision Agriculture", 2024 5th International Conference for Emerging Technology (INCET), pp.1-7, 2024.
4.
Brahim Remmouche, Mokhtar Taffar, Doulkifli Boukraa, "Object Part Appearance Module built into Yolo for Occlusion", 2024 8th International Conference on Image and Signal Processing and their Applications (ISPA), pp.1-8, 2024.
5.
A Swathi, Shashank Menon, V Bhavana, "Impact of image size on Human Facial Expression Recognition: A Relative Study", 2024 10th International Conference on Communication and Signal Processing (ICCSP), pp.687-692, 2024.
6.
N. Thulasi Chitra, G. Sreenivasulu, P. Subhashini, Hrudaya Kumar Tripathy, "Visual Recognized Attendance System", 2024 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC), pp.1-4, 2024.
7.
Tianlei Ma, Hao Wang, Jing Liang, Jinzhu Peng, Qi Ma, Zhiqiang Kai, "MSMA-Net: An Infrared Small Target Detection Network by Multiscale Super-Resolution Enhancement and Multilevel Attention Fusion", IEEE Transactions on Geoscience and Remote Sensing, vol.62, pp.1-20, 2024.
8.
Sicong Zang, Shikui Tu, Lei Xu, "Self-Organizing a Latent Hierarchy of Sketch Patterns for Controllable Sketch Synthesis", IEEE Transactions on Neural Networks and Learning Systems, vol.35, no.10, pp.14506-14518, 2024.
9.
Srabanti Maji, Kriti, Ajay Narayan Shukla, Vishakha Arya, Pooja Gupta, "Object Detection Its Progress and Principles", 2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART), pp.225-233, 2023.
10.
Aniruddhsinh Parmar, Ruchi Gaiiar, Nagendra Gajjar, "Drone based Potholes detection using Machine Learning on various Edge AI devices in Real-Time", 2023 IEEE International Symposium on Smart Electronic Systems (iSES), pp.22-26, 2023.
11.
Thota Bhuvana Chandra, Kona Mourya Sai Chandra, N Abhinay Reddy, S Abhishek, Anjali T, "DeepVision Attendance: A Visual Recognition System for Automated Attendance Tracking", 2023 Global Conference on Information Technologies and Communications (GCITC), pp.1-7, 2023.
12.
Jinyang Li, "Research on Short-Term Power Load Forecasting of CNN-LSTM Based on Attention Mechanism", 2023 3rd International Conference on Electronic Information Engineering and Computer Science (EIECS), pp.859-862, 2023.
13.
Qiyao Tang, "Real-time Network Attack Detection Method based on Neural Network", 2023 4th International Symposium on Computer Engineering and Intelligent Communications (ISCEIC), pp.613-616, 2023.
14.
Vaishnavi Moorthy, Darshil Shah, Shresth Kapoor, Srinivas Tb, Abhay Lal, "ALATS: Analysis of localization algorithms in terrestrial surveillance bots", 2023 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), pp.1-6, 2023.
15.
Zichen Song, Shan Ma, "DNN-Based Hospital Service Satisfaction Using GCNNs Learning", IEEE Access, vol.11, pp.65289-65299, 2023.
16.
Anshul, Ashish Bahuguna, M S Guru Prasad, Yadeesh Bhagnal, Ashwini N. Yeole, B P Aniruddha Prabhu, "CNN-Powered Monument Detection Webapp for Preserving India’s Cultural Heritage", 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC), pp.1-6, 2023.
17.
Rishu, Vinay Kukreja, Abhinav Kumar, "Analyzing Emotional Impact of Speech Balloons on Comic Characters: A Study of Arousal Levels", 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), pp.211-215, 2023.
18.
Navin Kumar Agrawal, Ashutosh Shankhdhar, "An Enhanced and Effective Approach for Object Detection using Deep Learning Techniques", 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), pp.1482-1486, 2022.
19.
Naru Venkata Pavan Saish, J Vijayashree, "Image Classification of Lung X-ray Images using Deep learning", 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), pp.1970-1976, 2022.
20.
Hera Susanti, Zaenurrohman, Muhamad Yusuf, Arif Sumardiono, "Simulation and Experimentation of Fire Fighting with Early Detection Based on MobileNetV2", 2022 5th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), pp.548-553, 2022.
21.
Surya Chaitanya Jakka, Yerragopu Venkata Sai, Jesudoss A, Viji Amutha Mary A, "Blind Assistance System using Tensor Flow", 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC), pp.1505-1511, 2022.
22.
Ziqing Deng, Yang Wang, Bing Zhang, Linwei Li, Jihong Wang, Lifeng Bian, Chen Yang, "A Triple-Path Spectral–Spatial Network With Interleave-Attention for Hyperspectral Image Classification", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.15, pp.5906-5923, 2022.
23.
Fatimah Al Heeti, Muhammad Ilyas, "Comparative analysis of convolutional neural network architectures for classification of plant leaf diseases", 2022 2nd International Conference on Computing and Machine Intelligence (ICMI), pp.1-5, 2022.
24.
Christian Hary, Satria Mandala, "Object Detection Analysis Study in Images based on Deep Learning Algorithm", 2022 International Conference on Data Science and Its Applications (ICoDSA), pp.226-231, 2022.
25.
Jieyuan Liu, "VGG, MobileNet and AlexNet on Recognizing Skin Cancer Symptoms", 2022 3rd International Conference on Electronic Communication and Artificial Intelligence (IWECAI), pp.525-528, 2022.
26.
Sankari Subbiah, Aravindh R, Kamaleswaran R, Senthil Nayagam, "Detectroops - A Street Mascarar", 2021 4th International Conference on Computing and Communications Technologies (ICCCT), pp.111-116, 2021.
27.
N. Murali Krishna, Ramidi Yashwanth Reddy, Mallu Sai Chandra Reddy, Kasibhatla Phani Madhav, Gaikwad Sudham, "Object Detection and Tracking Using Yolo", 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), pp.1-7, 2021.
28.
S. Gayathri, T.U. Ujwala, C.V. Vinusha, N. Rebecca Pauline, D.B. Tharunika, "Detection of Papaya Ripeness Using Deep Learning Approach", 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), pp.1755-1758, 2021.
29.
Gowtham Kishore Indukuri, Vedha Krishna Yarasuri, Aswathy K Nair, "Paddy Disease Classifier using Deep learning Techniques", 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI), pp.1602-1607, 2021.
30.
Christian Roggia, Fabio Persia, "Extraction of Frame Sequences in the Manga Context", 2020 IEEE International Symposium on Multimedia (ISM), pp.96-99, 2020.
Cites in Papers - Other Publishers (27)
1.
Zizhou Zhao, Junyu Lyu, Yinghao Chu, Ke Liu, Daofan Cao, Changning Wu, Longjun Qin, Shiwei Qin, "Toward generalizable robot vision guidance in real-world operational manufacturing factories: A Semi-Supervised Knowledge Distillation approach", Robotics and Computer-Integrated Manufacturing, vol.86, pp.102639, 2024.
2.
Mohammed Ali Saleh, Mohamed Abdouh, Mohamed K. Ramadan, "A Novel Method for Improving Baggage Classification Using a Hyper Model of Fusion of DenseNet-161 and EfficientNet-B5", Big Data and Cognitive Computing, vol.8, no.10, pp.135, 2024.
3.
Rishu, Vinay Kukreja, "Decoding comics: a systematic literature review on recognition, segmentation, and classification techniques with emphasis on computer vision and non-computer vision", Multimedia Tools and Applications, 2024.
4.
Xusheng Tang, Jie Liu, "Research on Intelligent Monitoring System of Urban Network Database", Proceedings of the 2023 International Conference on Green Building, Civil Engineering and Smart City, vol.328, pp.827, 2024.
5.
Abu Islam, Suvrat Jain, Nenad G. Nenadic, Michael G. Thurston, Justin Greenberg, Brad Moss, "Image‐Based Machine Learning in Automotive Used Parts Identification for Remanufacturing", Technology Innovation for the Circular Economy, pp.507, 2024.
6.
John Benson Louis, Jean-Christophe Burie, "Detection of Buried Complex Text. Case of Onomatopoeia in Comics Books", Document Analysis and Recognition ? ICDAR 2023 Workshops, vol.14193, pp.177, 2023.
7.
Taufiq Hidayat, Edrian Hadinata, Irfan Sudahri Damanik, Zakial Vikki, Irvanizam Irvanizam, "Implementation of Hybrid CNN-XGBoost Method for Leukemia Detection Problem", Infolitika Journal of Data Science, vol.1, no.1, pp.15, 2023.
8.
Alhaji BALLA FOFANAH, Emre ÖZBİLGE, Yonal KIRSAL, "Skin Cancer Recognition Using Compact Deep Convolutional Neural Network", Çukurova Üniversitesi Mühendislik Fakültesi Dergisi, pp.787, 2023.
9.
Yulu Wang, Yi Han, Jun Chen, Zhou Wang, Yi Zhong, "An FPGA-Based Hardware Low-Cost, Low-Consumption Target-Recognition and Sorting System", World Electric Vehicle Journal, vol.14, no.9, pp.245, 2023.
10.
Jing Xue, Wen Wu, Qingkai Cheng, "Intelligent invigilator system based on target detection", Multimedia Tools and Applications, 2023.
11.
Devi Fitrianah, Agit Muhammad, Ida Nurhaida, "Comparative Study of Pre-processing Data on Scoliosis Type Classification on X-Ray Image Using CNN Algorithm", Data Science and Algorithms in Systems, vol.597, pp.667, 2023.
12.
Tianyu Bai, Song Fu, Qing Yang, "Privacy-Preserving Object Detection with Secure Convolutional Neural Networks for Vehicular Edge Computing", Future Internet, vol.14, no.11, pp.316, 2022.
13.
Mohamed K. Ramadan, Aliaa A. A. Youssif, Wessam H. El-Behaidy, "Detection and Classification of Human-Carrying Baggage Using DenseNet-161 and Fit One Cycle", Big Data and Cognitive Computing, vol.6, no.4, pp.108, 2022.
14.
Wacharaphol Ketwongsa, Sophon Boonlue, Urachart Kokaew, "A New Deep Learning Model for the Classification of Poisonous and Edible Mushrooms Based on Improved AlexNet Convolutional Neural Network", Applied Sciences, vol.12, no.7, pp.3409, 2022.
15.
Saurabh Soni, Kamal Kant Hiran, "Personally Identifiable Information (PII) Detection and Obfuscation Using YOLOv3 Object Detector", Emerging Technologies in Computer Engineering: Cognitive Computing and Intelligent IoT, vol.1591, pp.274, 2022.
16.
Subbiah Sankari, Subramaniam Sankaran Varshini, Savvas Mohamed Aafia Shifana, "COVID?19: Machine learning for safe transportation", Concurrency and Computation: Practice and Experience, vol.34, no.19, 2022.
17.
Amlan Dutta, Ahmad Atik, Mriganka Bhadra, Abhijit Pal, Md Akram Khan, Rupak Chakraborty, "Detection of Objects Using a Fast R-CNN-Based Approach", Modeling, Simulation and Optimization, vol.292, pp.295, 2022.
18.
Narayana Darapaneni, M. S. Narayanan, Shakeeb Ansar, Ganesh Ravindran, Kumar Sanjeev, Abhijeet Kharade, Anwesh Reddy Paduri, "Traffic Density Determination Using Advanced Computer Vision", Intelligent Systems and Sustainable Computing, vol.289, pp.375, 2022.
19.
Ziqing Deng, Yang Wang, Linwei Li, Bing Zhang, Zhengli Zhang, Lifeng Bian, Zhao Ding, Chen Yang, "An attention involved network stacked by dual-channel residual block for hyperspectral image classification", Infrared Physics & Technology, vol.122, pp.104083, 2022.
20.
Raimund Schnurer, Rene Sieber, Jost Schmid-Lanter, A. Cengiz Oztireli, Lorenz Hurni, "Detection of Pictorial Map Objects with Convolutional Neural Networks", The Cartographic Journal, vol.58, no.1, pp.50, 2021.
21.
Nagifa Ilma Progga, Noortaz Rezoana, Mohammad Shahadat Hossain, Raihan Ul Islam, Karl Andersson, "A CNN Based Model for Venomous and Non-venomous Snake Classification", Applied Intelligence and Informatics, vol.1435, pp.216, 2021.
22.
Yuqing Zhao, Jinlu Jia, Di Liu, Yurong Qian, "HE-YOLO: Aerial Target Detection Based On Improved YOLOv3", International Journal of Pattern Recognition and Artificial Intelligence, vol.35, no.13, 2021.
23.
Zhuang Ai, Nurbol Luktarhan, AiJun Zhou, Dan Lv, "WebShell Attack Detection Based on a Deep Super Learner", Symmetry, vol.12, no.9, pp.1406, 2020.
24.
Song Chang, Ziyan Jia, Yang Yu, Weige Tao, Xiaojie Liu, "UAV Path Planning Design Based on Deep Learning", Communications, Signal Processing, and Systems, vol.571, pp.1280, 2020.
25.
Julian Del Gobbo, Rosana Matuk Herrera, "Unconstrained Text Detection in Manga: A New Dataset and Baseline", Computer Vision ? ECCV 2020 Workshops, vol.12537, pp.629, 2020.
26.
Shah bano, Syed Adnan Shah, Wakeel Ahmad, Muhammad Ilyas, "CARRIED BAGGAGE DETECTION AND CLASSIFICATION USING MULTI-TREND BINARY CODE DESCRIPTOR AND SUPPORT VECTOR MACHINE", NED University Journal of Research, vol.XVII, no.4, pp.81, 2020.
27.
Takaaki Sato, Hiroaki Sawano, Yuri Suzuki, Seiji Hotta, "A Proposal of a Video Production Method Based on an Comic's Object Extraction", The Journal of the Society for Art and Science, vol.18, no.3, pp.97, 2019.
