20 papers · ranked by Valyu relevance
Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari
We propose an automatic system for organizing the content of a collection of unstructured videos of an articulated object class (e.g., tiger, horse). By exploiting the recurring motion patterns of the class across videos, our system: (1) identifies its characteristic behaviors, and (2) recovers pixel-to-pixel…
Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari
We propose an automatic system for organizing the content of a collection of unstructured videos of an articulated object class (e.g. tiger, horse). By exploiting the recurring motion patterns of the class across videos, our system: 1) identifies its characteristic behaviors; and 2) recovers pixel-to-pixel alignments…
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…
Xiaoyun Yuan, Mengqi Ji, Jiamin Wu, David J. Brady + 2 more
'Lu Fang'] Array cameras removed the optical limitations of a single camera and paved the way for high-performance imaging via the combination of micro-cameras and computation to fuse multiple aperture images. However, existing solutions use dense arrays of cameras that require laborious calibration and lack…
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…
Jiaheng Xie, Yidong Chai, Xiao Liu
As video-sharing sites emerge as a critical part of the social media landscape, video viewership prediction becomes essential for content creators and businesses to optimize influence and marketing outreach with minimum budgets. Although deep learning champions viewership prediction, it lacks interpretability, which is…
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 | | | |…
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…
Mayu Otani, Yale Song, Yang Wang
| 1 | | Introduction | | | | | | | | | | | | | | 285 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 2 | | Taxonomy of Video Summarization | | | | | | | | | | | | | | 288 | | | 2.1 | Video Domains | . . | . | . | . | . | . | . | . | . | . | . | . | . | 289 | |…
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…
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…
Peter Rennert, Oisin Mac Aodha, Matthew Piper, Gabriel Brostow
Background Scientific insight is often sought by recording and analyzing large quantities of video. While easy access to cameras has increased the quantity of collected videos, the rate at which they can be analyzed remains a major limitation. Often, bench scientists struggle with the most basic problem that there is…
Alexander M. Conway, Ian N. Durbach, Alistair McInnes, Robert N. Harris
Video data are widely collected in ecological studies but manual annotation is a challenging and time-consuming task, and has become a bottleneck for scientific research. Classification models based on convolutional neural networks (CNNs) have proved successful in annotating images, but few applications have extended…
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…
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…
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…
Andrea Kóbor, Kata Horváth, Zsófia Kardos, Dezso Nemeth + 1 more
It is unclear to what extent implicit prior knowledge is involved and remains persistent in the extraction of the statistical structure underlying sensory input. Therefore, this study investigated whether the implicit knowledge on 2^nd^ order transitional probabilities characterizing a stream of visual stimuli impacts…
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…
Authors not listed
The exponential growth of chemical literature necessitates the development of automated tools for extracting and curating molecular information from unstructured scientific publications into open-access chemical databases. Current optical chemical structure recognition (OCSR) and named entity recognition solutions…