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Optimising video summaries for mobile devices using visual attention modelling
2006
Proceedings of the 2nd international conference on Mobile multimedia communications - MobiMedia '06
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In order to represent large video collections in the form of key-frame summary on small screen devices, this paper exploits methodology of the visual attention modelling and rapid serial visual presentation ...
The system ranks importance of key-frame regions in the nal layout by exploiting visual attention modelling. A nal layout is created using an optimisation algorithm based on dynamic programming. ...
The algorithm exploits visual attention modelling and creates visual summaries in an ecient and user centered way. ...
doi:10.1145/1374296.1374328
dblp:conf/mobimedia/CalicC06
fatcat:ggxmk6u6hjc3xeokiwtnerrx4q
Compact Visualisation of Video Summaries
2007
EURASIP Journal on Advances in Signal Processing
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In addition, the system exploits visual attention modelling and rapid serial visual presentation to generate highly compact summaries on mobile devices. ...
To represent large amounts of information in the form of a video key-frame summary, this paper studies the narrative grammar of comics, and using its universal and intuitive rules, lays out visual summaries ...
However, in order to produce highly compact summaries for the mobile devices, salient image regions are extracted using a human visual attention model. ...
doi:10.1155/2007/19496
fatcat:gfottkm6knfnbi4ajubbmhfovq
Video Summarization Using Highlight Detection and Pairwise Deep Ranking Model
2020
Procedia Computer Science
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With mobile phones and camera enabled devices becoming pervasive and user-friendly, a large number of videos are being shot every day and uploaded to social media and video streaming websites. ...
This work aims to generate a video summary, by modelling a two stream architecture consisting of deep convolutional neural network in each stream for extracting both spatial and temporal information of ...
A shortest path algorithm is used to further detect video scenes. Using structure and attention information, video summary can be generated from the temporal graph. ...
doi:10.1016/j.procs.2020.03.203
fatcat:n3h32rudx5d7rkm5orazo6hqjy
Edge Intelligence: Architectures, Challenges, and Applications
[article]
2020
arXiv
pre-print
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Edge intelligence refers to a set of connected systems and devices for data collection, caching, processing, and analysis in locations close to where data is captured based on artificial intelligence. ...
We then aim for a systematic classification of the state of the solutions by examining research results and observations for each of the four components and present a taxonomy that includes practical problems ...
Streiffer et al. appoint an edge server for mobile devices that requests video frame analytics [320] . ...
arXiv:2003.12172v2
fatcat:xbrylsvb7bey5idirunacux6pe
Examining Users' Concerns while Using Mobile Learning Apps
2021
International Journal of Interactive Mobile Technologies
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the internet done majorly on mobile handheld devices. ...
By combining text mining techniques of topic modeling using Latent Dirichlet Algorithm (LDA) and sentiment analysis using Linguistic Inquiry Word Count (LIWC), we analyze these user reviews. ...
Introduction Smartphones, being a form of handheld devices, have mobile apps that are installable according to user preference; mobile apps are software applications developed for mobile devices. ...
doi:10.3991/ijim.v15i15.22345
fatcat:komiqayolrf2hij7mhgg5xyqr4
Real-time monitoring of driver drowsiness on mobile platforms using 3D neural networks
2019
Neural computing & applications (Print)
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applications on mobile devices. ...
Drowsiness detection methods have received considerable attention, but few studies have investigated the implementation of a detection approach on a mobile phone. ...
The authors would like to acknowledge Katherine Scully for her assistance with the literature review, and the anonymous reviewers for their valuable feedback, which helped improve the quality of the original ...
doi:10.1007/s00521-019-04506-0
fatcat:77ux3q4edvhoxblmcyzd67nmke
Character index
2011
2011 IEEE International Conference on Multimedia and Expo
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OF ELECTRONIC AND AUDIO BOOKS VIA TTS ALIGNMENT AND SILENCE FILTERING Andrew Perkis VISUAL ATTENTION TUNED SPATIO-VELOCITY CONTRAST SENSITIVITY FOR VIDEO QUALITY ASSESSMENT GESTURE RECOGNITION ON A MOBILE ...
Wei Jiang AUTOMATIC CONSUMER VIDEO SUMMARIZATION BY AUDIO AND VISUAL ANALYSIS Daniel Gonzalez Jimenez BUILT-IN FACE RECOGNITION FOR SMART PHOTO SHARING IN MOBILE DEVICES Feng Jin AUTOMATIC RESPIRATORY ...
doi:10.1109/icme.2011.6011827
fatcat:wjy7yvkmvbbf3hj4wbyjapx5gu
The City Brain: Practice of Large-Scale Artificial Intelligence in the Real World
2019
IET Smart Cities
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From cognition to optimisation, to decision-making, from search to prediction and ultimately, to intervention, City Brain improves the way to manage the city, as well as the way to live in it. ...
City Brain is an end-to-end system whose goal is to glean irreplaceable values from big city data, specifically from videos, with the assistance of rapidly evolving artificial intelligence technologies ...
In the decision and optimisation stage, based on the unified summaries of structured traffic data, intelligence algorithms are adopted for traffic signal optimisation, traffic organisation optimisation ...
doi:10.1049/iet-smc.2019.0034
fatcat:45qm7t5qgve7hgyvfzjl7huocq
Inferring Human Knowledgeability from Eye Gaze in Mobile Learning Environments
[chapter]
2019
Lecture Notes in Computer Science
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camera of mobile devices in contrast to using specialised eye tracking devices. ...
We focus on a mobile learning scenario where a user and a virtual agent play a quiz game using a hand-held mobile device. ...
Finally, we optimised the trained model for deployment on mobile devices using Tensorflow Mobile. ...
doi:10.1007/978-3-030-11024-6_13
fatcat:siuzpfjqsfd7xhqutmgyrah444
Towards Real-time Drowsiness Detection for Elderly Care
[article]
2020
arXiv
pre-print
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To quantify yawning, eyelid and head movement over time, we extracted 3000 images from captured videos for training and testing of deep learning models integrated with OpenCV library. ...
Visual inspection of head movement from videos with generated 3D coordinate overlays, indicated clear spatiotemporal patterns in collected data (yaw, roll and pitch). ...
ACKNOWLEDGEMENT We wish to acknowledge contributors to the open source software community including OpenCV documentation and libraries, which were important success factors for us to complete this research ...
arXiv:2010.10771v1
fatcat:el56xmydsfevzla2m3zvnx7kcq
MARVEL - D4.1: Optimal audio-visual capturing, analysis and voice anonymisation – initial version
2022
Zenodo
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The second section of the document is about devAIce SDK, a modular technology optimised to work on cross-platforms and contains several AI models such as the Voice Activity Detection (VAD) tool as well ...
high-end edge devices. ...
more accurate in-domain data that can be used for re-training the model. ...
doi:10.5281/zenodo.5833276
fatcat:nf3cr3jxtrdrliqpjg75r24htu
CollabAR – Investigating the Mediating Role of Mobile AR Interfaces on Co-Located Group Collaboration
2020
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
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Using CollabAR, we study collaborative group practices through a range of virtual models with different levels of complexity. ...
This paper presents a study which examines how a mobile AR (M-AR) interface for inspecting and discovering AR models of varying complexity impacts co-located group practices. ...
ACKNOWLEDGEMENTS We thank our participants and anonymous reviewers for their comments and feedback on this manuscript. ...
doi:10.1145/3313831.3376541
dblp:conf/chi/WellsH20
fatcat:36ia6qedrjdwpamwxbxv4hecta
Handheld devices for applications using dynamic multimedia data
2004
Proceedings of the 2nd international conference on Computer graphics and interactive techniques in Austalasia and Southe East Asia - GRAPHITE '04
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This paper investigates the suitability and constraints of using handheld devices for such applications. ...
We firstly analyse the capabilities and limitations of current models of handheld devices and advanced features offered by next generation models. ...
This is already happening as the latest model of mobile phones comes with camera nowadays. ...
doi:10.1145/988834.988856
dblp:conf/graphite/PhamW04
fatcat:yhrhp6kecvgfheilz2aphuidaa
A methodology for User Interface adaptation of multi-device broadcast-broadband services
2020
IEEE Access
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of the
screen area
w 3
1.2
TABLE 8 . 8 Summary of the use cases USE CASE 1
7 Components
Main Programme, Video 1, Video 2, Video
3, Video 4, Dynamic Data, Social
1 Device
TV
USE CASE 2 ...
Theoretically, model-based UI optimisation refers to the use of combinatorial methods to solve a UI design problem formulated as a search problem by using predictive models of human behaviour and experience ...
doi:10.1109/access.2020.3039616
fatcat:v6fui3emzjenhc36keycvdcxk4
MARVEL - D1.3: Architecture definition for MARVEL framework
2021
Zenodo
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Specifications of the architecture to the MARVEL use cases have also been provided together with initial components' customisations. ...
The purpose of this deliverable is to provide a refined specification of the conceptual architecture for the MARVEL Edge-to-Fog-to-Cloud (E2F2C) ubiquitous computing framework. ...
achieving good models used on edge devices for inference. ...
doi:10.5281/zenodo.5463896
fatcat:ekassky3trcwraipozxsiokwja
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