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1

Ahmed, Hanzala. "Video Summarizer." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 224–27. https://doi.org/10.22214/ijraset.2025.67234.

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This project focuses on creating a "Video Summarizer" that leverages advanced technologies to generate concise summaries and visual previews of videos. The process begins by converting the video input into audio using Python libraries such as MoviePy, Speech Recognition. The audio is then transcribed into text, which is summarized using the Google Gemini API to produce clear and succinct summaries. Additionally, the system generates visual previews of the video by extracting text using Pytesseract and applying structural similarity metrics to identify key frames, offering a visual snapshot of
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2

de la Puente, Gabrielle, and Zarina Muhammad. "emoji summaries." Journal of Writing in Creative Practice 13, no. 1 (2020): 147–54. http://dx.doi.org/10.1386/jwcp.13.1.147_3.

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The White Pube present the emoji summaries that accompany their exhibition reviews on thewhitepube.com. The emoji summaries are there to replace the quantitative 1–5 star rating that normally heads typical art and film reviews. Rather than claim the same authoritative objectivity, The White Pube writers will respond to the exhibition with three selective emojis to offer a description of their personal experience.
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3

Zhang, Mai, Hao Yan, and Chaozhuo Li. "FACTMS: Enhancing Multimodal Factual Consistency in Multimodal Summarization." Applied Sciences 15, no. 8 (2025): 4096. https://doi.org/10.3390/app15084096.

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Multimodal summarization (MS) generates text summaries from multimedia articles with textual and visual content. Therefore, MS can suffer from the multimodal factual inconsistency problem, where the generated summaries may distort or deviate from both the textual and visual content in the original multimodal input. Existing MS approaches mainly focus on improving the degree of word overlap between output summaries and reference summaries while ignoring the factual inconsistency problem. In this work, we propose a fact-aware multimodal summarization model (FactMS) to improve the multimodal fact
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4

Gosnell, J. Stephen, and K. Schreiber. "Oysters in the City: Analyzing Data to Guide Coastal Restoration in New York City." Lessons in Conservation 14 (2025): 28–46. https://doi.org/10.5531/cbc.linc.14.1.4.

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People may picture restoration ecologists working in the field, but in reality, much of their time is spent analyzing collected data in order to communicate progress to stakeholders and guide adaptive management strategies. Data must be summarized numerically and visually to provide information. In this exercise, students will explore these techniques by connecting visual and numerical summaries of oyster restoration progress that Billion Oyster Project (BOP) provided in their annual monitoring reports to raw data stored in spreadsheets. Students will learn how to summarize data on their own u
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5

Clarke, Irvine, Theresa B. Flaherty, and Michael Yankey. "Teaching the Visual Learner: The Use of Visual Summaries in Marketing Education." Journal of Marketing Education 28, no. 3 (2006): 218–26. http://dx.doi.org/10.1177/0273475306291466.

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6

Wysoczanska, Monika, Moran Beladev, Karen Lastmann Assaraf, et al. "Tell Me What Is Good about This Property: Leveraging Reviews for Segment-Personalized Image Collection Summarization." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 21 (2024): 22983–89. http://dx.doi.org/10.1609/aaai.v38i21.30339.

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Image collection summarization techniques aim to present a compact representation of an image gallery through a carefully selected subset of images that captures its semantic content. When it comes to web content, however, the ideal selection can vary based on the user's specific intentions and preferences. This is particularly relevant at Booking.com, where presenting properties and their visual summaries that align with users' expectations is crucial. To address this challenge, in this work, we consider user intentions in the summarization of property visuals by analyzing property reviews an
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7

Tiurina, Natalia, Yuri Markov, Michael H. Herzog, and David Pascucci. "Efficient ensemble summaries are inversely related to visual crowding." Journal of Vision 21, no. 9 (2021): 2093. http://dx.doi.org/10.1167/jov.21.9.2093.

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8

M., Bharathi, and Aditya Sai Srinivas T. "Visualizing Knowledge: The Crucial Role of Graphical Abstracts." Research and Reviews: Journal of Environmental Sciences 6, no. 2 (2024): 34–40. https://doi.org/10.5281/zenodo.10978914.

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<em>A graphical abstract is a succinct graphic summary that condenses a research paper's main ideas and conclusions into one picture. It acts as a summary of the study and increases accessibility and engagement by giving a brief rundown</em><em>. Through strategically chosen visuals and minimal text, graphical abstracts facilitate efficient communication, making complex ideas more comprehensible. In an era where information overload is prevalent, these visual summaries play a crucial role in conveying the essence of scientific research to a broader audience.</em>
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9

Turkay, Cagatay, Aidan Slingsby, Helwig Hauser, Jo Wood, and Jason Dykes. "Attribute Signatures: Dynamic Visual Summaries for Analyzing Multivariate Geographical Data." IEEE Transactions on Visualization and Computer Graphics 20, no. 12 (2014): 2033–42. http://dx.doi.org/10.1109/tvcg.2014.2346265.

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10

Ciocca, G., and R. Schettini. "Supervised And Unsupervised Classification Post-Processing for Visual Video Summaries." IEEE Transactions on Consumer Electronics 52, no. 2 (2006): 630–38. http://dx.doi.org/10.1109/tce.2006.1649689.

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11

Rudinac, S., A. Hanjalic, and M. Larson. "Generating Visual Summaries of Geographic Areas Using Community-Contributed Images." IEEE Transactions on Multimedia 15, no. 4 (2013): 921–32. http://dx.doi.org/10.1109/tmm.2013.2237896.

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12

Westman, Stina. "Evaluation of visual video summaries: user-supplied constructs and descriptions." International Journal on Digital Libraries 11, no. 2 (2010): 125–40. http://dx.doi.org/10.1007/s00799-011-0071-y.

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13

Tran, Tuan Anh, Jarunee Duangsuwan, and Wiphada Wettayaprasit. "Automatic Aspect-Based Sentiment Summarization for Visual, Structured, and Textual Summaries." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 15, no. 1 (2021): 50–72. http://dx.doi.org/10.37936/ecti-cit.2021151.237565.

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Online reviews are valuable sources of information to help companies to make good decisions for business intelligence. In this study, we propose an Automatic Aspect-based Sentiment Summarization (AAbSS) system that has two components and can generate a summary as an output. The first component is the Aspect-based Knowledge Representation and Selection (AKRS) used to represent reviews based on aspects and their polarities for selecting aspect-based knowledge. To represent and selection knowledge, a set of frequency of polarity opinion strength, a summation of frequency of aspect, and an informa
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14

Duan, Hao, Wei Song, Jinhong Guo, and Wenjie Yan. "Taurine: A Source and Application for the Relief of Visual Fatigue." Nutrients 15, no. 8 (2023): 1843. http://dx.doi.org/10.3390/nu15081843.

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According to reports, supplementation with appropriate doses of taurine may help to reduce visual fatigue. Presently, some progress has been made in research related to taurine in eye health, but the lack of systematic summaries has led to the neglect of its application in the relief of visual fatigue. This paper, therefore, provides a systematic review of the sources of taurine, including the endogenous metabolic and exogenous dietary pathways, as well as a detailed review of the distribution and production of exogenous taurine. The physiological mechanisms underlying the production of visual
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15

Black, Alexander, Jing Shi, Yifei Fan, Tu Bui, and John Collomosse. "VIXEN: Visual Text Comparison Network for Image Difference Captioning." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 2 (2024): 846–54. http://dx.doi.org/10.1609/aaai.v38i2.27843.

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We present VIXEN - a technique that succinctly summarizes in text the visual differences between a pair of images in order to highlight any content manipulation present. Our proposed network linearly maps image features in a pairwise manner, constructing a soft prompt for a pretrained large language model. We address the challenge of low volume of training data and lack of manipulation variety in existing image difference captioning (IDC) datasets by training on synthetically manipulated images from the recent InstructPix2Pix dataset generated via prompt-to-prompt editing framework. We augment
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16

Ghosh, Akash, Arkadeep Acharya, Raghav Jain, Sriparna Saha, Aman Chadha, and Setu Sinha. "CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 20 (2024): 22031–39. http://dx.doi.org/10.1609/aaai.v38i20.30206.

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In the era of modern healthcare, swiftly generating medical question summaries is crucial for informed and timely patient care. Despite the increasing complexity and volume of medical data, existing studies have focused solely on text-based summarization, neglecting the integration of visual information. Recognizing the untapped potential of combining textual queries with visual representations of medical conditions, we introduce the Multimodal Medical Question Summarization (MMQS) Dataset. This dataset, a major contribution of our work, pairs medical queries with visual aids, facilitating a r
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17

Thanh Loan, Dao Thi, and Tran Anh Tuan. "Towards visual sentiment summary to understand customers’ satisfaction." Bulletin of Electrical Engineering and Informatics 13, no. 4 (2024): 2774–83. http://dx.doi.org/10.11591/eei.v13i4.7668.

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Due to the COVID-19 pandemic, the shopping behavior of customers has been significantly affected and is being shifted towards online shopping. Understanding the customers’ opinions, attitudes, and emotions in feedback and comments plays an essential role in making decisions for organizations and individuals (e.g., companies and customers). In this study, we propose sentiment summaries from the customer knowledgebase (SSoCK) framework that analyses customer feedback and improve a mechanism for sentiment summarization by using text analysis including sentiment analysis. In the experiments, vario
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18

Redaktion. "English Summaries." Peripeti 19, no. 37 (2022): 250–53. http://dx.doi.org/10.7146/peri.v19i37.135214.

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Connected Matters: Collaboration and Care in Nana Francisca Schottländer’s Bodyscaping By Solveig Gade This article is preoccupied with the dramaturgies and collaborations between human and more-than-human agents in contemporary eco-performance. Putting Anna Tsing’s concept of contamination as collaboration as well as Maria Puig de la Bellacasa’s notion of care time into dialogue with theatre and performance studies, the article investigates Danish choreographer Nana Fransisca Schottländer’s performance Bodyscaping, arguing that contemporary eco-performance does not only represent, but also pr
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19

Kigotho, Mutuota, and Siti Sarah Fitriani. "Summarising an Explanation Text with a Visual Representation as the Guidelines: How Does this Work to Represent Meaning?" Al-Ta lim Journal 25, no. 1 (2018): 1–12. http://dx.doi.org/10.15548/jt.v25i1.379.

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Metacognition has been popular in reading area, especially when it is related to comprehension and the representation of meanings. Combining metacognitive strategies to represent meanings from a text has been done by previous scholars to help readers construct meaning. In this paper, we present students’ drawings and writings as the results of successive visualisation and summarisation activities in the classroom. We intended to find out the extent to which students’ visual representations can be the guideline for them to write summaries. By employing qualitative research method, we collected
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20

Sushant Savita Madhukar Gandhi. "VSMGFBG: Design of an Efficient Model for Enhanced Video Summarization Using Fusion of Markov Graph Neural Networks and Fuzzy BERT With GAN." Journal of Electrical Systems 20, no. 3 (2024): 6659–83. http://dx.doi.org/10.52783/jes.7066.

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In the realm of video content analysis, the demand for efficient and precise video summarization has become increasingly vital due to the vast amount of video data generated daily. Existing methods often struggle with the balance between summary comprehensiveness and brevity, leading to less accurate and less useful summaries. This paper introduces an innovative approach to video summarization that significantly enhances precision, accuracy, recall, Area Under the Curve (AUC), specificity, and delay metrics. The proposed model employs a fusion of Markov Graph Neural Network (MGNN) for video tr
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21

Köthur, Patrick, Mike Sips, Andrea Unger, Julian Kuhlmann, and Doris Dransch. "Interactive visual summaries for detection and assessment of spatiotemporal patterns in geospatial time series." Information Visualization 13, no. 3 (2013): 283–98. http://dx.doi.org/10.1177/1473871613481692.

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Numerous measurement devices and computer simulations produce geospatial time series that describe a wide variety of processes of System Earth. A major challenge in the analysis of such data is the complexity of the described processes, which requires a simultaneous assessment of the data’s spatial and temporal variability. To address this task, geoscientists often use automated analyses to compute a compact description of the data, ideally comprising characteristic spatial states of the process under study and their occurrence over time. The results of such automated methods depend on the par
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22

Good, Judith, and Jon Oberlander. "Verbal effects of visual programs: Information type, structure and error in program summaries." Document Design 3, no. 2 (2002): 120–34. http://dx.doi.org/10.1075/dd.3.2.03goo.

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23

Watson, P. J., J. E. Fieldsend, and V. H. Stiles. "A scoping review using social network analysis techniques to summarise the prevalance of methods used to acquire data for athlete survelliance in sport." International Journal of Computer Science in Sport 20, no. 2 (2021): 175–97. http://dx.doi.org/10.2478/ijcss-2021-0011.

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Abstract To aid the implementation of athlete surveillance systems relative to logistical circumstances, easy-to-access information that summarises the extent to which methods of acquiring data are used in practice to monitor athletes is required. In this scoping review, Social Network Analysis and Mining (SNAM) techniques were used to summarise and identify the most prevalent combinations of methods used to monitor athletes in research studying team, individual, field- and court-based sports (357 articles; SPORTDiscus, MEDLINE, CINHAL, and WebOfScience; 2014-2018 inc.) . The most prevalent co
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24

Bouattou, Zina, Hafida Belbachir, and Robert Laurini. "Multi-agent system approach for improved real-time visual summaries of geographical data streams." International Journal of Intelligent Systems Technologies and Applications 17, no. 3 (2018): 255. http://dx.doi.org/10.1504/ijista.2018.094006.

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Belbachir, Hafida, Robert Laurini, and Zina Bouattou. "Multi-agent system approach for improved real-time visual summaries of geographical data streams." International Journal of Intelligent Systems Technologies and Applications 17, no. 3 (2018): 255. http://dx.doi.org/10.1504/ijista.2018.10015222.

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26

Karray, Hichem, Monji Kherallah, Mohamed Ben Halima, and Adel M. Alimi. "An Interactive Device for Quick Arabic News Story Browsing." International Journal of Mobile Computing and Multimedia Communications 4, no. 4 (2012): 62–82. http://dx.doi.org/10.4018/jmcmc.2012100104.

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The authors propose a framework for multimodal analysis of Arabic news broadcast which helps users of pervasive devices to browsing quickly into news archive; their solution integrating many aspects such as summarizing, indexing textual content and on on-line recognition of the handwriting. Firstly, the summarizing process is to accelerate the video content browsing based on genetic algorithm. Secondly, the indexing process, which operates on video summaries based on text recognition. Finally users communicate by writing keywords on PDA screen and keep only summaries speaking about this topic.
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27

Coleman, Caroline G., Timothy T. Daugherty, Yooree G. Chung, et al. "1112. #EducationInTheTimeofCOVID: Using Twitter to Disseminate Evidence-Based Medicine during a Pandemic." Open Forum Infectious Diseases 7, Supplement_1 (2020): S586—S587. http://dx.doi.org/10.1093/ofid/ofaa439.1298.

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Abstract Background The medical community has used Twitter as a learning tool during the COVID-19 pandemic to digest the high volume of rapidly evolving literature. However, Twitter contains educational content of varying quality and accuracy. To address this issue, we created and disseminated visual abstracts of COVID-19 literature on Twitter to educate health professionals. Methods Fellows and faculty members from multiple institutions collaborated with Emory University medical students to create visual abstracts of published COVID-19 literature (Figure 1). ID fellows and faculty identified
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28

Hu, Yuhuang, Hongjie Liu, Michael Pfeiffer, and Tobi Delbruck. "DVS Benchmark Datasets for Object Tracking, Action Recognition, and Object Recognition." Frontiers in Neuroscience 10 (August 31, 2016): 405. https://doi.org/10.3389/fnins.2016.00405.

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This data report summarizes a new benchmark dataset in which we converted established visual video benchmarks for object tracking, action recognition and object recognition into spiking neuromorphic datasets, recorded with the DVS output (Lichtsteiner et al., 2008) of a DAVIS camera (Berner et al., 2013; Brandli et al., 2014). This report presents our approach for sensor calibration and capture of frame-based videos into neuromorphic vision datasets with minimal human intervention. We converted four widely used dynamic datasets: the VOT Challenge 2015 Dataset (Kristan et al., 2016), TrackingDa
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29

Doll, Theodore J., Shane W. McWhorter, and David E. Schmieder. "Visual Search and Detection in Background Clutter." Proceedings of the Human Factors Society Annual Meeting 36, no. 18 (1992): 1420–24. http://dx.doi.org/10.1177/154193129203601813.

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Two traditions of vision modeling have coexisted for many years with little or no transfer of information between them. Those interested in models of visual target acquisition for real-world scenarios have developed engineering models, which are essentially empirical summaries of visual performance data. On the other hand, basic researchers in visual psychophysics and neurophysiology have developed quantitative models of pattern perception. The basic research models have increased in generality and scope to the point that they are potentially powerful tools for addressing certain real-world ne
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30

Mayer, Richard E., William Bove, Alexandra Bryman, Rebecca Mars, and Lene Tapangco. "When less is more: Meaningful learning from visual and verbal summaries of science textbook lessons." Journal of Educational Psychology 88, no. 1 (1996): 64–73. http://dx.doi.org/10.1037/0022-0663.88.1.64.

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31

Levine, Richard A., Shaban Demirel, Juanjuan Fan, John L. Keltner, Chris A. Johnson, and Michael A. Kass. "Asymmetries and Visual Field Summaries as Predictors of Glaucoma in the Ocular Hypertension Treatment Study." Investigative Opthalmology & Visual Science 47, no. 9 (2006): 3896. http://dx.doi.org/10.1167/iovs.05-0469.

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32

Kannan, Rajkumar, Sridhar Swaminathan, Gheorghita Ghinea, Frederic Andres, and Kalaiarasi Sonai Muthu Anbananthen. "Movie Video Summarization- Generating Personalized Summaries Using Spatiotemporal Salient Region Detection." International Journal of Multimedia Data Engineering and Management 10, no. 3 (2019): 1–26. http://dx.doi.org/10.4018/ijmdem.2019070101.

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Video summarization condenses a video by extracting its informative and interesting segments. In this article, a novel video summarization approach is proposed based on spatiotemporal salient region detection. The proposed approach first segments a video into a set of shots which are ranked with spatiotemporal saliency scores. The score for a shot is computed by aggregating the frame level spatiotemporal saliency scores. This approach detects spatial and temporal salient regions separately using different saliency theories related to objects present in a visual scenario. The spatial saliency o
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33

Ms. P. Malathi and K. Sushmeena. "Conversational AI for Blind Users: Image Recognition and Assistance Using LSTM." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 3 (2025): 913–20. https://doi.org/10.32628/cseit25113359.

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Creating evocative text summaries for photographs is the challenge of image captioning, a sophisticated computer vision task. This technology understands the content of an image and conveys it in a way that is legible by humans by combining concepts from computer vision and natural language processing. Blind people's need for image captioning stems from the basic need for equality of access to information and inclusivity. In order to enable people with visual impairments to understand visual content that would otherwise be unavailable to them, this technology is essential in giving descriptive
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34

Peng, Zhenhui, Qiaoyi Chen, Zhiyu Shen, Xiaojuan Ma, and Antti Oulasvirta. "DesignQuizzer: A Community-Powered Conversational Agent for Learning Visual Design." Proceedings of the ACM on Human-Computer Interaction 8, CSCW1 (2024): 1–40. http://dx.doi.org/10.1145/3637321.

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Online design communities, where members exchange free-form views on others' designs, offer a space for beginners to learn visual design. However, the content of these communities is often unorganized for learners, containing many redundancies and irrelevant comments. In this paper, we propose a computational approach for leveraging online design communities to run a conversational agent that assists informal learning of visual elements (e.g., color and space). Our method extracts critiques, suggestions, and rationales on visual elements from comments. We present DesignQuizzer, which asks ques
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35

Reed, George F., Bruce D. Meade, and Mark C. Steinhoff. "The Reverse Cumulative Distribution Plot: A Graphic Method for Exploratory Analysis of Antibody Data." Pediatrics 96, no. 3 (1995): 600–603. http://dx.doi.org/10.1542/peds.96.3.600.

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Serologic data often have a wide range and commonly do not approximate a normal distribution. Means, medians, SDs, or other conventional numerical summaries of antibody data may not adequately or fully describe these complex data. The reverse cumulative distribution plot is a graphic tool that completely displays all the data, allows a rapid visual assessment of important details of the distribution, and simplifies comparison of distributions.
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Dr. M. Sivarathinabala, Dr. R. Jothi Chithra, G Akshaya, Varshini S R, and Sneha J. "Deep Learning-Driven Real-Time Video Summarization with Temporal Modeling and Attention Mechanism." International Research Journal on Advanced Engineering and Management (IRJAEM) 3, no. 04 (2025): 1407–15. https://doi.org/10.47392/irjaem.2025.0229.

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Developments in video content across various platforms require new advanced techniques to efficiently manage and streamline vast video data access. Using Recurrent Neural Networks (RNNs) and Bidirectional Long Short-Term Memory (BiLSTMs) together with attention mechanisms the paper addresses real-time video summarization. The developed system demonstrates functionality to detect essential keyframes while maintaining control over time-based sequence relations in video content. Video summaries created by humans serve together with raw video content to enable the model to discover vital visual da
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37

Stahl-Timmins, Will. "Visualising medical evidence on sepsis treatment." Information Design Journal 23, no. 1 (2017): 96–103. http://dx.doi.org/10.1075/idj.23.1.10sta.

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Visual information can have a range of benefits for busy health practitioners. At The BMJ, we often use visuals to provide quick summaries of information from at times lengthy articles. This paper presents a case study of the design process for an interactive graphic on sepsis treatment, aiming to update doctors working in intensive care units of current evidence. Through explaining this design process, four major challenges for the use of interactive graphics in science publishing are highlighted: (1) how to identify suitable knowledge for visualisations; (2) how to select an appropriate dept
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38

TAYYEBI, Seyed Farhad. "THREE REVOLUTIONARY CHANGES IN REPRESENTATION: THEORETICAL SUMMARIES, PRACTICAL TOOLS, AND VISUAL EXAMPLES VIA KANYON SHOPPING MALL." Journal of Arts 3, no. 3 (2020): 179–88. http://dx.doi.org/10.31566/arts.3.013.

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Although many scholars have discursively explored the evolution of representation in fine art throughout the ages, the revolutionary changes of the term are not well summarized nor illustrated in architecture. This paper, after exploring the radical changes of representation, reflects the revolutions of representation concerning the place of representation in the perception process of art, as well as the method of acquiring the representation both in discourse and practice. Then, a building tangibly illustrates the place of representation in architecture. The study shows representation has exp
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39

Adhikari, Alka, and Noemi Stockdale. "Clinician Compliance With DVLA Guidelines in a Female Acute Inpatient Unit: Evaluating Documentation and Advice on Driving Status." BJPsych Open 11, S1 (2025): S280. https://doi.org/10.1192/bjo.2025.10680.

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Aims: The aim of this study was to assess clinician compliance with DVLA guidelines regarding driving status and advice for patients in an acute female inpatient unit. Specifically, the study sought to identify the documentation of driving status in patient records, the provision of DVLA-compliant advice, and the effectiveness of implemented recommendations.Methods: This retrospective study reviewed electronic records of 20 patients admitted to an acute inpatient female ward. Data collection focused on whether driving status was documented and if DVLA-compliant advice was provided. Following t
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40

Li, Haoran, Peng Yuan, Song Xu, Youzheng Wu, Xiaodong He, and Bowen Zhou. "Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 8188–95. http://dx.doi.org/10.1609/aaai.v34i05.6332.

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We present an abstractive summarization system that produces summary for Chinese e-commerce products. This task is more challenging than general text summarization. First, the appearance of a product typically plays a significant role in customers' decisions to buy the product or not, which requires that the summarization model effectively use the visual information of the product. Furthermore, different products have remarkable features in various aspects, such as “energy efficiency” and “large capacity” for refrigerators. Meanwhile, different customers may care about different aspects. Thus,
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41

Straczkiewicz, Marcin, Jacek Urbanek, and Jaroslaw Harezlak. "RADVis: A Software Tool for the Visual Investigation of Raw Accelerometry Data." Journal for the Measurement of Physical Behaviour 1, no. 4 (2018): 191–96. http://dx.doi.org/10.1123/jmpb.2018-0004.

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The authors employed MATLAB to develop the Raw Accelerometry Data Visualization (RADVis) tool for the examination of the raw accelerometry data collected with GENEActiv and ActiGraph devices. The graphical user interface provided enables efficient exploration of the acceleration signals without advanced computational skills. RADVis allows plotting of the tri-axial data, vector magnitude, and statistical summaries of the subsets of up to two different signals. Visual comparisons between the zoomed-in fragments of the signals are enabled via the drop-down menus and user-selected zoom-in paramete
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42

Brooker, Alan E. "Performance on the Wechsler Memory Scale-Revised for Patients with Mild Traumatic Brain Injury and Mild Dementia." Perceptual and Motor Skills 84, no. 1 (1997): 131–38. http://dx.doi.org/10.2466/pms.1997.84.1.131.

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The purpose of this study was to delineate significant differences among mild traumatic brain-injured and early onset mild dementia patients examined using the Wechsler Memory Scale-Revised subtests. In comparison to 12 mild traumatic brain-injured patients, 11 mild dementia patients scored significantly lower on Verbal Paired Associates I and II, Visual Reproduction I and II, and Visual Paired Associates I. Raw score summaries for the Wechsler Memory Scale-Revised indicated significantly lower scores on Verbal Memory, Visual Memory, and the over-all composite General Memory for mild dementia
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43

Loughan, Ashlee, Autumn Lanoye, Sarah Braun, Amber Fox, and Giuliana Zarrella. "QOL-12. NEURO-ONCOLOGY INCLUSION IN PSYCHOTHERAPEUTIC INTERVENTION TRIALS: LEARNING WHICH COGNITIVE ADAPTATIONS COULD SUPPORT PATIENT ENGAGEMENT?" Neuro-Oncology 25, Supplement_5 (2023): v251. http://dx.doi.org/10.1093/neuonc/noad179.0964.

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Abstract BACKGROUND Many patients with brain tumors experience double vulnerability—significant emotional distress coupled with cognitive decline—however, these cognitive changes often prohibit their inclusion in psychotherapeutic interventions that might otherwise improve their wellbeing. The primary goal of this analysis was to understand how best to accommodate the neurocognitive needs of patients with brain tumors so that they may effectively participate in future psychotherapeutic interventions. Our secondary goal was to assess potential differences in desired cognitive adaptations betwee
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44

James, Patrick. "Systemist International Relations." International Studies Quarterly 63, no. 4 (2019): 781–804. http://dx.doi.org/10.1093/isq/sqz086.

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Abstract Systemist international relations (SIR) is put forward as a potential solution to short- and long-term problems faced by the discipline of international relations (IR). SIR responds to the immediate difficulties that stem from an impasse between advocates of analytic eclecticism and skeptics who prefer paradigmatic research. The more sustained challenges posed by the size and complexity of IR also can be met through implementation of SIR, which entails a graphic turn. Along those lines, the Visual International Relations Project (VIRP) is creating an archive of one-page graphic summar
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45

Jappy, Tony. "A Peircean approach to pictorial documents." Public Journal of Semiotics 3, no. 1 (2011): 2–27. http://dx.doi.org/10.37693/pjos.2011.3.8829.

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The paper summarizes six chapters of a book introducing Peircean visual semiotics to non-specialists. The book has an epistemological bent, and is intended as an empiricist response to Saussurean rationalism, locked away as it is in the universe of Thirdness. Inevitably, in reducing two hundred and thirty pages to twenty-four, the paper has been shorn of the majority of the original examples, quotations and summaries, the relations between the various chapters (here sections) are not developed in detail and the general presentation is perforce allusive: for example, the dynamic object, surely
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46

Sack, Warren. "What Does a Very Large-Scale Conversation Look Like? Artificial Dialectics and the Graphical Summarization of Large Volumes of E-Mail." Leonardo 35, no. 4 (2002): 417–26. http://dx.doi.org/10.1162/002409402760181231.

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E-mail-based conversations between thousands of people-very large-scale conversations (VLSCs)-now take place in a variety of on-line public spaces such as Usenet newsgroups and large listservs. This article describes the author's prototype Conversation Map system, which can automatically analyze and graphically summarize thousands of e-mail messages exchanged in VLSCs. Example conversation maps of nine VLSCs are presented. Finally, the sociolinguistic analysis performed by the Conversation Map is discussed as a form of artificial dialectics, and the graphical summaries produced by the system a
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47

Yang, Runmin, Jingjing Ma, Shu Zhang, Yu Zheng, Lusheng Wang, and Daming Zhu. "mzMD: visualization-oriented MS data storage and retrieval." Bioinformatics 38, no. 8 (2022): 2333–40. http://dx.doi.org/10.1093/bioinformatics/btac098.

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Abstract Motivation Drawing peaks in a data window of an MS dataset happens at all time in MS data visualization applications. This asks to retrieve from an MS dataset some selected peaks in a data window whose image in a display window reflects the visual feature of all peaks in the data window. If an algorithm for this purpose is asked to output high-quality solutions in real time, then the most fundamental dependence of it is on the storage format of the MS dataset. Results We present mzMD, a new storage format of MS datasets and an algorithm to query this format of a storage system for a s
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48

Babatunde, O. O., V. Tan, J. L. Jordan, et al. "Evidence flowers: An innovative, visual method of presenting “best evidence” summaries to health professional and lay audiences." Research Synthesis Methods 9, no. 2 (2018): 273–84. http://dx.doi.org/10.1002/jrsm.1295.

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49

Enunwa, Chidiebele, Chuma Obineme, Thuy-Van P. Hang, et al. "S1505 Visual Summaries of Gastroenterology Guidelines Increase Clinicians' Exposure to and Knowledge of Guideline-Based Clinical Care." American Journal of Gastroenterology 117, no. 10S (2022): e1078-e1079. http://dx.doi.org/10.14309/01.ajg.0000862660.49972.12.

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50

Brewster, JoAnne. "Teaching Abnormal Psychology in a Multimedia Classroom." Teaching of Psychology 23, no. 4 (1996): 249–52. http://dx.doi.org/10.1207/s15328023top2304_15.

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This article describes techniques for teaching Abnormal Psychology in a 104-student multimedia classroom that includes two computers and a variety of audiovisual equipment. Presentation software allows flexibility of presentation of computer-generated text, as well as opportunities for heightening visual and auditory interest. Students respond anonymously to various questions via keypads mounted on desks, and they immediately view and discuss summaries of their responses. This article compares educational outcomes in the multimedia classes with outcomes in traditional classes.
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