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Related papers: Towards Storytelling from Visual Lifelogging: An O…

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Reality TV shows that follow people in their day-to-day lives are not a new concept. However, the traditional methods used in the industry require a lot of manual labour and need the presence of at least one physical camera man. Because of…

Computer Vision and Pattern Recognition · Computer Science 2020-07-10 Timothy Callemein , Wiebe Van Ranst , Toon Goedemé

Sentiment analysis aims to extract and express a person's perception, opinions and emotions towards an entity, object, product and a service, enabling businesses to obtain feedback from the consumers. The increasing popularity of the social…

Computer Vision and Pattern Recognition · Computer Science 2020-02-11 Kashif Ahmad , Syed Zohaib , Nicola Conci , Ala Al-Fuqaha

Visual Sentiment Analysis aims to understand how images affect people, in terms of evoked emotions. Although this field is rather new, a broad range of techniques have been developed for various data sources and problems, resulting in a…

Computer Vision and Pattern Recognition · Computer Science 2020-05-19 Alessandro Ortis , Giovanni Maria Farinella , Sebastiano Battiato

Visual storytelling aims to generate a narrative based on a sequence of images, necessitating both vision-language alignment and coherent story generation. Most existing solutions predominantly depend on paired image-text training data,…

Computer Vision and Pattern Recognition · Computer Science 2023-08-21 Yuechen Wang , Wengang Zhou , Zhenbo Lu , Houqiang Li

The routine of a person is defined by the occurrence of activities throughout different days, and can directly affect the person's health. In this work, we address the recognition of routine related days. To do so, we rely on egocentric…

Computer Vision and Pattern Recognition · Computer Science 2019-05-13 Estefania Talavera , Nicolai Petkov , Petia Radeva

In the age of ever increasing demand for big data and data analytics, a question of collecting the data becomes fundamental. What and how to collect the data is essential as it has direct impact on decision making, system operation and…

Other Computer Science · Computer Science 2019-02-26 Miroslaw Malek

In this paper, we address the problem of forecasting the trajectory of an egocentric camera wearer (ego-person) in crowded spaces. The trajectory forecasting ability learned from the data of different camera wearers walking around in the…

Computer Vision and Pattern Recognition · Computer Science 2022-07-08 Jianing Qiu , Lipeng Chen , Xiao Gu , Frank P. -W. Lo , Ya-Yen Tsai , Jiankai Sun , Jiaqi Liu , Benny Lo

Each year, thousands of people learn new visual categorization tasks -- radiologists learn to recognize tumors, birdwatchers learn to distinguish similar species, and crowd workers learn how to annotate valuable data for applications like…

Computer Vision and Pattern Recognition · Computer Science 2022-07-25 Neehar Kondapaneni , Pietro Perona , Oisin Mac Aodha

Visual analytics systems combine machine learning or other analytic techniques with interactive data visualization to promote sensemaking and analytical reasoning. It is through such techniques that people can make sense of large, complex…

Machine Learning · Statistics 2018-06-25 A. Endert , W. Ribarsky , C. Turkay , W Wong , I. Nabney , I Díaz Blanco , Fabrice Rossi

Visual storytelling combines visuals and narratives to communicate important insights. While web-based visual storytelling is well-established, leveraging the next generation of digital technologies for visual storytelling, specifically…

Human-Computer Interaction · Computer Science 2025-12-02 Tao Lu , Qian Zhu , Tiffany Ma , Wong Kam-Kwai , Anlan Xie , Alex Endert , Yalong Yang

Visual knowledge is a new form of knowledge representation that can encapsulate visual concepts and their relations in a succinct, comprehensive, and interpretable manner, with a deep root in cognitive psychology. As the knowledge about the…

Artificial Intelligence · Computer Science 2024-04-09 Wenguan Wang , Yi Yang , Yunhe Pan

Self-supervised learning holds the promise of learning good representations from real-world continuous uncurated data streams. However, most existing works in visual self-supervised learning focus on static images or artificial data…

Computer Vision and Pattern Recognition · Computer Science 2025-08-13 Yanlai Yang , Mengye Ren

We consider the task of identifying human actions visible in online videos. We focus on the widely spread genre of lifestyle vlogs, which consist of videos of people performing actions while verbally describing them. Our goal is to identify…

Computation and Language · Computer Science 2021-09-10 Oana Ignat , Laura Burdick , Jia Deng , Rada Mihalcea

Existing recommendation systems either rely on user interaction logs, such as online shopping history for shopping recommendations, or focus on text signals. However, item-based histories are not always accessible, and are not generalizable…

Computer Vision and Pattern Recognition · Computer Science 2025-10-21 Wang Bill Zhu , Deqing Fu , Kai Sun , Yi Lu , Zhaojiang Lin , Seungwhan Moon , Kanika Narang , Mustafa Canim , Yue Liu , Anuj Kumar , Xin Luna Dong

Like sighted people, visually impaired people want to share photographs on social networking services, but find it difficult to identify and select photos from their albums. We aimed to address this problem by incorporating state-of-the-art…

Human-Computer Interaction · Computer Science 2018-05-07 Yuhang Zhao , Shaomei Wu , Lindsay Reynolds , Shiri Azenkot

The possibility of sharing one's point of view makes use of wearable cameras compelling. These videos are often long, boring and coupled with extreme shake, as the camera is worn on a moving person. Fast forwarding (i.e. frame sampling) is…

Computer Vision and Pattern Recognition · Computer Science 2017-01-13 Tavi Halperin , Yair Poleg , Chetan Arora , Shmuel Peleg

Thanks to the low operational cost and large storage capacity of smartphones and wearable devices, people are recording many hours of daily activities, sport actions and home videos. These videos, also known as egocentric videos, are…

Computer Vision and Pattern Recognition · Computer Science 2017-08-17 Washington Luis Souza Ramos , Michel Melo Silva , Mario Fernando Montenegro Campos , Erickson Rangel Nascimento

Nowadays, there is an upsurge of interest in using lifelogging devices. Such devices generate huge amounts of image data; consequently, the need for automatic methods for analyzing and summarizing these data is drastically increasing. We…

Computer Vision and Pattern Recognition · Computer Science 2019-05-13 Estefania Talavera , Nicolai Petkov , Petia Radeva

Media editors in the newsroom are constantly pressed to provide a "like-being there" coverage of live events. Social media provides a disorganised collection of images and videos that media professionals need to grasp before publishing…

Multimedia · Computer Science 2019-08-12 Gonçalo Marcelino , David Semedo , André Mourão , Saverio Blasi , Marta Mrak , João Magalhães

In this paper, we collect an anthology of 100 visual stories from authors who participated in our systematic creative process of improvised story-building based on image sequences. Following close reading and thematic analysis of our…

Computation and Language · Computer Science 2023-10-10 Brett A. Halperin , Stephanie M. Lukin