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Quality-Based Automatic Classification for Presentation Slides [chapter]

Seongchan Kim, Wonchul Jung, Keejun Han, Jae-Gil Lee, Mun Y. Yi
2014 Lecture Notes in Computer Science  
In this study, we present a new, comprehensive framework of information quality developed specifically for computerized presentation slides on the basis of a user study involving 60 university students  ...  Computerized presentation slides have become essential for effective business meetings, classroom discussions, and even general events and occasions.  ...  To the best of our knowledge, this study is the first attempt to define quality metrics for automatic classification of presentation slides.  ... 
doi:10.1007/978-3-319-06028-6_69 fatcat:6vgs4ydqnrbp5cjrfml6s74z6a

SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks [article]

Teng Zhang, Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell
2018 arXiv   pre-print
In order to address the quality assessment problem, we propose a deep neural network based framework to automatically assess the slide quality in a semantic way.  ...  For instance, if the system found a slide to have a low staining quality, it could send a request to the automatic slide preparation system to remake the slide.  ...  Firstly, our DNN engine performs a fast dense region classification on the entire slide. Then, the heat map and text summaries are generated automatically based on the classification results.  ... 
arXiv:1803.07240v1 fatcat:fdncaxidcbehtfe4ipqtnvbdu4

Seamless presentation capture, indexing, and management

David M. Hilbert, Matthew Cooper, Laurent Denoue, John Adcock, Daniel Billsus, Anthony Vetro, Chang Wen Chen, C.C. J. Kuo, Tong Zhang, Qi Tian, John R. Smith
2005 Multimedia Systems and Applications VIII  
Technology abounds for capturing presentations. However, no simple solution exists that is completely automatic.  ...  Automatic media analysis is used to detect presentation content and segment presentations.  ...  In order to generate high-quality presentation content suitable for indexing, retrieval, and reuse, an RGB-based solution must infer high-level information from the video signal.  ... 
doi:10.1117/12.631069 fatcat:ybezs63nkvcitlbwueqjkuxf4u

Semantic Focusing Allows Fully Automated Single-Layer Slide Scanning of Cervical Cytology Slides

Bernd Lahrmann, Nektarios A. Valous, Urs Eisenmann, Nicolas Wentzensen, Niels Grabe, Paul van Diest
2013 PLoS ONE  
In summary, the integration of semantic focus information into whole-slide imaging allows automatic high-quality imaging of LBC slides and subsequent biomarker analysis.  ...  We assembled focus point analysis and sharpness classification into a fully automatic, iterative workflow, free of user intervention, which performs repetitive slide scanning as necessary.  ...  A complete automatic workflow (3.4) was then created to automatically set valid focus points, measure the virtual slide's focus quality and automatically re-scan it in total or partially.  ... 
doi:10.1371/journal.pone.0061441 pmid:23585899 pmcid:PMC3621829 fatcat:3ktn6mwahbhuhfr23nsj7yugde

Automatic Handgun Detection Alarm in Videos Using Deep Learning [article]

Roberto Olmos, Siham Tabik, Francisco Herrera
2017 arXiv   pre-print
This work presents a novel automatic handgun detection system in videos appropriate for both, surveillance and control purposes.  ...  The best detector show a high potential even in low quality youtube videos and provides satisfactory results as automatic alarm system.  ...  As far as we know, this work presents the first automatic gun detection alarm system that uses deep CNNs based detection models.  ... 
arXiv:1702.05147v1 fatcat:ho5wzaz42fglxd3r52bjreu224

An Automated Blur Detection Method for Histological Whole Slide Imaging

Xavier Moles Lopez, Etienne D'Andrea, Paul Barbot, Anne-Sophie Bridoux, Sandrine Rorive, Isabelle Salmon, Olivier Debeir, Christine Decaestecker, Arrate Muñoz-Barrutia
2013 PLoS ONE  
We propose a statistical learning method that provides early image quality feedback and automatically identifies regions of the image that require additional focus points.  ...  These artifacts may strongly affect the quality of subsequent analyses, making a slide review process mandatory.  ...  The authors proposed a complete automatic workflow that resolves the challenging problem of imaging singlelayered cytological glass slides of sufficient quality.  ... 
doi:10.1371/journal.pone.0082710 pmid:24349343 pmcid:PMC3862630 fatcat:simfqpi7ybc2njldlak5mfp7ru

Enhancing Automatic PPT Generation Technique through NLP for Textual Data

Pooja Belote, Sonali Bidwai, Snehal Jadhav, Pradnya Kapadnis, Nakul Sharma
2017 IJARCCE  
Proposed system come with an idea of automatically generate presentation slides from textual data. The slides mostly incorporate of only the important points related to the topic.  ...  The intended system works on NLP rules to classify data for the desired slides.  ...  They introduce a method using fuzzy logic for sentence extraction. 4.Slides Gen: Automatic Generation of Presentation Slides for a Technical Paper Using Summarization: In this paper, documents is LATEX  ... 
doi:10.17148/ijarcce.2017.63237 fatcat:ygmercf5a5a6dds7hnrs3mqpxa

[Paper] Automatic Quality Evaluation of Whole Slide Images for the Practical Use of Whole Slide Imaging Scanner

Hossain Md Shakhawat, Tomoya Nakamura, Fumikazu Kimura, Yukako Yagi, Masahiro Yamaguchi
2020 ITE Transactions on Media Technology and Applications  
scans pathological-specimens to produce digital images for monitor-based diagnosis and analysis.  ...  Previously, a referenceless quality evaluation method (RQM) was proposed by Hashimoto et al. to evaluate the quality of the scanned image 7) for the purpose of Abstract A whole slide imaging (WSI) scanner  ...  Nevertheless, reference-based evaluation is not suitable for the detection of a quality failure in the WSI scanner system 253 Paper » Automatic Quality Evaluation of Whole Slide Images for the Practical  ... 
doi:10.3169/mta.8.252 fatcat:vv3yutzzinbnpisnxdoih37ayy

An Interpretable Algorithm for Uveal Melanoma Subtyping from Whole Slide Cytology Images [article]

Haomin Chen, T.Y. Alvin Liu, Catalina Gomez, Zelia Correa, Mathias Unberath
2021 arXiv   pre-print
Finally, a rule-based slide-level classification algorithm is trained on the partitions of the circularly distorted 2D manifold.  ...  For learning-based systems, this can be achieved through an interpretable design of the inference pipeline.  ...  Automatic ROI extraction is performed using , resulting in a total of 131, 816 high-quality ROIs across all slides.  ... 
arXiv:2108.06246v1 fatcat:hec3dxbwjvg5zobn5pq6jp6j4y

A Comparison on Techniques for Automatic Generation of Presentation Slides

Biju P., Smitha C.S.
2015 International Journal of Computer Applications  
Automatic slide generators can be broadly classified based on NLP, Statistical Methods and Machine Learning.  ...  The automatic generation of presentation slides from technical articles is one of the most desired but under-researched area in the field of computing.  ...  Section 2 describes some of the methodologies for automatically generating presentation slides.  ... 
doi:10.5120/ijca2015907646 fatcat:cqla6sshknbnxishnn2wya4l4e

SVM-based Video Segmentation and Annotation of Lectures and Conferences
english

Stefano Masneri, Oliver Schreer
2014 Proceedings of the 9th International Conference on Computer Vision Theory and Applications  
This paper presents a classification system for video lectures and conferences based on Support Vector Machines (SVM).  ...  On top of this, the system further analyses presentation segments to detect slide transitions, animations and dynamic content such as video inside the presentation.  ...  This paper describes an automatic classification system able to perform a temporal segmentation of the video based on semantic concepts.  ... 
doi:10.5220/0004686004250432 dblp:conf/visapp/MasneriS14 fatcat:dqjiu2y6jfcwnc6hf7bii4n75e

Color Noise-Based Feature for Splicing Detection and Localization

Christophe Destruel, Vincent Itier, Olivier Strauss, William Puech
2018 2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP)  
Color noise-based feature for splicing detection and localization.  ...  To detect such forgeries the digital image processing community is proposing new automatic algorithms designed to help human operators reveal manipulated images.  ...  Table I summarizes the classification results: our score (0.78 for precision and recall) outperforms the results presented in [4] (0.70 for both precision and recall).  ... 
doi:10.1109/mmsp.2018.8547093 dblp:conf/mmsp/DestruelISP18 fatcat:tupkrde2ifcvpp5hyzwpo4k7hy

Automated quantitative analysis of Ki-67 staining and HE images recognition and registration based on whole tissue sections in breast carcinoma

Min Feng, Yang Deng, Libo Yang, Qiuyang Jing, Zhang Zhang, Lian Xu, Xiaoxia Wei, Yanyan Zhou, Diwei Wu, Fei Xiang, Yizhe Wang, Ji Bao (+1 others)
2020 Diagnostic Pathology  
We counted and labelled each cell of 10 Ki-67 slides as standard for testing on WTS, the accuracy by automatic calculation of Ki-67 positive rate in attained IDC was 90.2%.  ...  The scoring of Ki-67 is highly relevant for the diagnosis, classification, prognosis, and treatment in breast invasive ductal carcinoma (IDC).  ...  Acknowledgments We thank all the pathologists and software engineers for participating in this study, including the team of 36 pathologists who were from West China Clinical Medical College of Sichuan  ... 
doi:10.1186/s13000-020-00957-5 pmid:32471471 fatcat:ah6lb7e6dra37ckfautdn7vy2y

A Low-Cost Automated Digital Microscopy Platform for Automatic Identification of Diatoms

Jesús Salido, Carlos Sánchez, Jesús Ruiz-Santaquiteria, Gabriel Cristóbal, Saul Blanco, Gloria Bueno
2020 Applied Sciences  
Diatom detection for specimen counting and sample classification are two difficult time-consuming tasks for the few existing expert diatomists.  ...  To mitigate this challenge, in this work, we propose a fully operative low-cost automated microscope, integrating algorithms for: (1) stage and focus control, (2) image acquisition (slide scanning, stitching  ...  For instance, it will execute the image processing tasks during automatic slide scanning and the inference modules for live automatic detection of diatoms.  ... 
doi:10.3390/app10176033 fatcat:oh6dsrmgxrdm7iebrnc3xk25di

A Novel Framework for Classifying Leather Surface Defects Based on a Parameter Optimized Residual Network

Jiehang Deng, Jiaxin Liu, Changzheng Wu, Tao Zhong, Guosheng Gu, Bingo Wing-Kuen Ling
2020 IEEE Access  
[12] presented an effective deep residual network for performing the classification of the colorectal polyps on the whole slide images.  ...  [5] presented a modified FCM (fuzzy c means clustering) based on neighbor information for detecting local defects of leather surface.  ... 
doi:10.1109/access.2020.3032164 fatcat:o53uhatvjjd2ze42ghnzd6gtc4
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