20 papers · ranked by Valyu relevance
Linliang Zhang, Lianshan Yan, Shuo Li, Saifei Li + 1 more
For the synthesis of ultra-large scene and ultra-high resolution videos, in order to obtain high-quality large-scene videos, high-quality video stitching and fusion are achieved through multi-scale unstructured array cameras. This paper proposes a network model image feature point extraction algorithm based on…
Vasilii Korolkov
Robust scene segmentation and representative frame selection are critical preprocessing steps in video understanding pipelines, enabling efficient downstream applications such as indexing, summarization, highlight detection, and semantic retrieval. However, most existing scene detection methods suffer from limited…
Mayu Otani, Yale Song, Yang Wang
| 1 | | Introduction | | | | | | | | | | | | | | 285 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 2 | | Taxonomy of Video Summarization | | | | | | | | | | | | | | 288 | | | 2.1 | Video Domains | . . | . | . | . | . | . | . | . | . | . | . | . | . | 289 | |…
Mehryar Abbasi, Hadi Hadizadeh, Parvaneh Saeedi
Trained Evaluator Authors: ['Mehryar Abbasi' 'Hadi Hadizadeh' 'Parvaneh Saeedi'] Abstract—This paper presents a novel approach for unsupervised video summarization using reinforcement learning. It aims to address the existing limitations of current unsupervised methods, including unstable training of adversarial…
Kang, Daniel
| 1 | | Introduction | 117 | | | |…
Hanqing Li, Diego Klabjan, Jean Utke
This paper introduces a new, unsupervised method for automatic video summarization using ideas from generative adversarial networks but eliminating the discriminator, having a simple loss function, and separating training of different parts of the model. An iterative training strategy is also applied by alternately…
Mikołaj Leszczuk, Marek Kobosko, Jakub Nawała, Filip Korus + 2 more
'Michał Grega' 'Gwanggil Jeon'] In the five years between 2017 and 2022, IP video traffic tripled, according to Cisco. User-Generated Content (UGC) is mainly responsible for user-generated IP video traffic. The development of widely accessible knowledge and affordable equipment makes it possible to produce UGCs of…
Wasim Muhammad, Imran Ahmed, Jamil Ahmad, Muhammad Nawaz + 3 more
Like other business domains, digital monitoring has now become an integral part of almost every academic institution. These surveillance systems cover all the routine activities happening on the campus while producing a massive volume of video data. Selection and searching the desired video segment in such a vast video…
Carl Harris, Kelly R. Finn, Peter U. Tse
The identification of behavior in video is a critical but time-consuming component in many areas of animal behavior research. Here, we introduce DeepAction, a deep learning-based toolbox for automatically annotating animal behavior in video. Our approach uses features extracted from raw video frames by a pretrained…
Ui Nyoung Yoon, Myung Duk Hong, Geun-Sik Jo, Euntai Kim + 2 more
'Sangyoun Lee' 'Kang Ryoung Park'] Individuals spend time on online video-sharing platforms searching for videos. Video summarization helps search through many videos efficiently and quickly. In this paper, we propose an unsupervised video summarization method based on deep reinforcement learning with an interpolation…
Ivan Sosnovik, Artem Moskalev, Cees Kaandorp, A.W.M. Smeulders
Video summarization aims at choosing parts of a video that narrate a story as close as possible to the original one. Most of the existing video summarization approaches focus on hand-crafted labels. As the number of videos grows exponentially, there emerges an increasing need for methods that can learn meaningful…
Jia-Hong Huang
Conditional Modeling Authors: ['Jia-Hong Huang'] | 2 | | Query-dependent Video Summarization | | 7 | | --- | --- | --- | --- | --- | | | 2.1 | Abstract | | 7 | | | 2.2 | | Introduction | 7 | | | 2.3 | Related Work | | 11 | | | | 2.3.1 | Unsupervised Video Summarization | 11 | | | | 2.3.2 | Supervised Video…
Jana Sedlakova, Paola Daniore, Andrea Horn Wintsch, Markus Wolf + 10 more
'Mina Stanikic' 'Christina Haag' 'Chloé Sieber' 'Gerold Schneider' 'Kaspar Staub' 'Dominik Alois Ettlin' 'Oliver Grübner' 'Fabio Rinaldi' 'Viktor von Wyl' '' 'Raymond Francis Sarmiento'] Digital data play an increasingly important role in advancing health research and care. However, most digital data in healthcare are…
Prashant Giridhar Shambharkar, Ruchi Goel
With the massive expansion of videos on the internet, searching through millions of them has become quite challenging. Smartphones, recording devices, and file sharing are all examples of ways to capture massive amounts of real time video. In smart cities, there are many surveillance cameras, which has created a…
Minghao Li, Xiaohan Wang, Haofei Wang, Min Yang + 1 more
Video anomaly detection has an important application value in the field of intelligent surveillance; however, due to the problems of sparse anomaly events and expensive labeling, it has made weakly supervised methods a research hotspot. Most of the current methods still adopt the strategy of processing temporal and…
Umur Yıldız, Burcu A. Ürgen
We present Multiarrangement, an offline, open-source Python toolkit for collecting human similarity judgments for video stimuli through multi-arrangement tasks. Participants arrange subsets of stimuli in a 2D arena such that Euclidean distances reflect perceived dissimilarity. The toolkit supports two experimental…
Jennifer J. Sun, Hao Zhou, Long Zhao, Liangzhe Yuan + 7 more
Computational approaches leveraging computer vision and machine learning have transformed the quantification of animal behavior from video. However, existing methods often rely on task-specific features or models, which struggle to generalize across diverse datasets and tasks. Recent advances in machine learning…
Benjamin Lahner, Kshitij Dwivedi, Polina Iamshchinina, Monika Graumann + 9 more
Grasping the meaning of everyday visual events is a fundamental feat of human intelligence that hinges on diverse neural processes ranging from vision to higher-level cognition. Deciphering the neural basis of visual event understanding requires rich, extensive, and appropriately designed experimental data. However…
Christian Georgiev, Thomas Legrand, Scott J. Mongold, Manoa Fiedler-Valenta + 2 more
Video presentation has become ubiquitous in paradigms investigating the neural and behavioral responses to observed actions. In spite of the great interest in uncovering the processing of observed bodily movements and actions in neuroscience and cognitive science, at present, no standardized set of video stimuli for…
Lauren A. Maggio, Alyssa Jeffrey, Stefanie Haustein, Anita Samuel
Academia uses scholarly metrics, such as the h-index, to make hiring, promotion, and funding decisions. These high-stakes decisions require that those using scholarly metrics be able to recognize, interpret, critically assess and effectively and ethically use them. This study aimed to characterize educational videos…