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Incorporating feature hierarchy and boosting to achieve more effective classifier training and concept-oriented video summarization and skimming

Hangzai Luo, Yuli Gao, Xiangyang Xue, Jinye Peng, Jianping Fan
2008 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
Second, a novel multi-modal boosting algorithm is developed to achieve more reliable video classifier training by incorporating feature hierarchy and boosting to dramatically reduce both the training cost  ...  Finally, the results of semantic video classification are incorporated to enable concept-oriented video summarization and skimming.  ...  ACKNOWLEDGMENTS The authors thank the reviewers for their useful comments and insight suggestions to make this paper more readable. We also want to thank the Associate Editor Prof.  ... 
doi:10.1145/1324287.1324288 fatcat:gu7ti4jopzd5dagwjzk3flcow4

A Survey on Visual Content-Based Video Indexing and Retrieval

Weiming Hu, Nianhua Xie, Li Li, Xianglin Zeng, S. Maybank
2011 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
boundary detection, key frame extraction and scene segmentation, extraction of features including static key frame features, object features and motion features, video data mining, video annotation, video  ...  retrieval including query interfaces, similarity measure and relevance feedback, and video browsing.  ...  [32] , [253] propose a hierarchical boosting scheme, which incorporates concept ontology and multitask learning, to train a hierarchical video classifier that exploits the strong correlations between  ... 
doi:10.1109/tsmcc.2011.2109710 fatcat:qtenus4htffcfbyuiwidgjojku

Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues

Aftab Alam, Irfan Ullah, Young-Koo Lee
2020 IEEE Access  
We propose a service-oriented layered reference architecture for intelligent video big data analytics in the cloud.  ...  It also aims to bridge the gap among large-scale video analytics challenges, big data solutions, and cloud computing.  ...  The video summarization can be classified as Static Video Abstracts, Dynamic Video Skimming, and Video Synopsis. 1) STATIC VIDEO ABSTRACT These approaches include a video table of contents, a storyboard  ... 
doi:10.1109/access.2020.3017135 fatcat:qc62bhzlrfcwblnvurb5okfjxe

The Hidden Inconsistencies Introduced by Predictive Algorithms in Judicial Decision Making [article]

Travis Greene, Galit Shmueli, Jan Fell, Ching-Fu Lin, Mark L. Shope, Han-Wei Liu
2020 arXiv   pre-print
These inconsistencies threaten to violate the principle of treating similar cases similarly and often arise from the need to operationalize legal concepts and human behavior into specific measures that  ...  We also consider the issue of inconsistencies due to the use of algorithms in light of current trends towards more autonomous algorithms and less human-understandable behavioral big data.  ...  The goal of this process is to achieve an optimal balance between model complexity and fit, effectively detecting just the predictive signal in the training data and discarding noise.  ... 
arXiv:2012.00289v1 fatcat:2zavmmbfmvgzfj7kj56fwuysyi

Encryption and encoding of facial images into quick response and high capacity color 2d code for biometric passport security system [article]

Ziaul Haque Choudhury
2022 arXiv   pre-print
is achieved.  ...  facial mark size recognition is initially achieved.  ...  There are more chances of vulnerabilities due to skimming.  ... 
arXiv:2203.15738v1 fatcat:2xqfpcweb5bppjcfk27yx5z7z4

Sensor-Based Activity Recognition

Liming Chen, J. Hoey, C. D. Nugent, D. J. Cook, Zhiwen Yu
2012 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
We make a primary distinction in this paper between data-driven and knowledge-driven approaches, and use this distinction to structure our survey.  ...  In this paper we present a comprehensive survey to examine the development and current status of various aspects of sensor-based activity recognition.  ...  based on features of the training data.  ... 
doi:10.1109/tsmcc.2012.2198883 fatcat:6s6uew7xhjglva2wikyulmduiy

Ubiquitous Computing for Capture and Access

Khai N. Truong, Gillian R. Hayes
2007 Foundations and Trends® in Human–Computer Interaction  
People may want to recall a multitude of experiences and information from everyday life.  ...  Human memory, however, has its limitations and can be insufficient for capturing and allowing access to salient information and important details over time.  ...  Other effective methods for summarizing and visualizing captured content may remain, and need to be developed and studied.  ... 
doi:10.1561/1100000014 fatcat:bgvjffmnpngojjlksmoiswnb64

A Multi-Lingually Applicable Journalist Toolset For The Big-Data Era

G. Kiomourtzis, G. Giannakopoulos, V. Karkaletsis, A. Kosmopoulos
2016 Zenodo  
Acknowledgments I would like to thank Dr. Octavian Popescu for his constant guidance, endless suggestions and encouragement and full support to finish this work.  ...  Acknowledgments: The authors would like to thank the anonymous reviewers for their helpful comments and suggestions.  ...  be treated as features to train a classifier for bias detection task.  ... 
doi:10.5281/zenodo.1242850 fatcat:nfkqg7jhjffdvgezdjzc6xxppa

A high-bias, low-variance introduction to Machine Learning for physicists [article]

Pankaj Mehta, Marin Bukov, Ching-Hao Wang, Alexandre G.R. Day, Clint Richardson, Charles K. Fisher, David J. Schwab
2019 arXiv   pre-print
The purpose of this review is to provide an introduction to the core concepts and tools of machine learning in a manner easily understood and intuitive to physicists.  ...  more advanced topics in both supervised and unsupervised learning.  ...  In this case, one may want to instead use features in the middle of the CNN to train our new classifier. These features are thought to be less fine-tuned and more universal (e.g. edge detectors).  ... 
arXiv:1803.08823v2 fatcat:vmtp62jyvjfxhpidpdcozfnza4


Dr Sasikumar, Dr ONYX, Dr Vinayagam, Dr Gokulakrishnan
2022 Zenodo  
Service marketing for BBA, Bcom and MBA  ...  Goal Oriented -Every businessman or entrepreneur are motivated to earn more profit and to achieve a high level of target.  ...  would be any demand for the product, and what features should be incorporated.  ... 
doi:10.5281/zenodo.6295073 fatcat:7a5onfvnw5aobco3fu7q22vsuq

One Thing for All Learners

Linda B. Nilson
2018 To Improve the Academy  
With the support of the Davis Educational Foundation, we have had the resources required to work with faculty before, during, and after they taught a course included in the project.  ...  The first author was supported by the National Science Foundation Graduate Fellowship Disclosure The Nguyen and McDaniel (2013b) study used materials related to an e-textbook project with Worth Publishers  ...  The Pre-training Principle People learn more deeply from a multimedia message when they have learned the names and characteristics of the main concepts.  ... 
doi:10.3998/tia.17063888.0037.111 fatcat:jhvzsjd6cvh75brq2jij7ubgrq

Abstracts of the 20th European Conference on Eye Movements, 18-22 August 2019, in Alicante (Spain)

Susana Martinez-Conde, Luis Martinez-Otero, Albert Compte, Rudolf Groner
2019 Journal of Eye Movement Research  
This document contains all abstracts of the 20th European Conference on Eye Movements, August 18-22, 2019, in Alicante, Spain Video stream "Glimpses at 20th ECEM":  ...  Results: We observed improved performance on incentivized trials (more so for reward than penalty) looking at peak velocity and reaction times.  ...  Higher dopamine levels led to faster simple reaction times but not choice reaction times and a trend towards higher reward sensitivity was observed. Data collection is currently ongoing.  ... 
doi:10.16910/jemr.12.7.1 pmid:33828763 pmcid:PMC7917478 fatcat:wqzwn552cndsnablyikzx3og5e

Vol. 2, No. 3, September 2009

Editor ELT
2009 English Language Teaching  
To sum up, it is important to pay more attention to aural English teaching, and we still have a long way to go.  ...  It is hard for a teacher to control the number of the students. Anyway, as a teacher, one would try the best to pay more attention to every student and help them as much as they could.  ...  numbers to write down key concepts, the higher scores they achieve in the video comprehension test.  ... 
doi:10.5539/elt.v2n3p0 fatcat:buraiij6cvamnhthqhvkgehmx4

Computer-Assisted Analysis of Biomedical Images [article]

Leonardo Rundo
2021 arXiv   pre-print
Nowadays, the amount of heterogeneous biomedical data is increasing more and more thanks to novel sensing techniques and high-throughput technologies.  ...  In reference to biomedical image analysis, the advances in image acquisition modalities and high-throughput imaging experiments are creating new challenges.  ...  channel-wise feature recalibration to boost the generalization performance.  ... 
arXiv:2106.04381v1 fatcat:osqiyd3sbja3zgrby7bf4eljfm

On the Opportunities and Risks of Foundation Models [article]

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch (+102 others)
2022 arXiv   pre-print
., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks.  ...  principles(e.g., model architectures, training procedures, data, systems, security, evaluation, theory) to their applications (e.g., law, healthcare, education) and societal impact (e.g., inequity, misuse  ...  and technical principles (e.g., model architectures, training procedures, data, systems, security, evaluation, theory) to their applications (e.g., law, healthcare, education) and societal impact (e.g  ... 
arXiv:2108.07258v3 fatcat:kohwrwk2ybf7fd7wsuz2gp65ki
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