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Resource Allocation for Personalized Video Summarization

Fan Chen, Christophe De Vleeschouwer, Andrea Cavallaro
2014 IEEE transactions on multimedia  
to the scene activity, which is more relevant for visual comfort.  ...  We propose a hybrid personalized summarization framework that combines adaptive fast-forwarding and content truncation to generate comfortable and compact video summaries.  ...  Fig.3 summarizes the summarization process based on solving a resource allocation problem.  ... 
doi:10.1109/tmm.2013.2291967 fatcat:dsh7saemvvb5rgdhhxcb5g6lhq

Video Copy Detection on the Internet: The Challenges of Copyright and Multiplicity

Julien Law-To, Valerie Gouet-Brunet, Olivier Buisson, Nozha Boujemaa
2007 Multimedia and Expo, 2007 IEEE International Conference on  
We present a technique called ViCopT for Video Copy Tracking which is based on labels of behavior of local descriptors computed along video.  ...  This paper presents applications for dealing with videos on the web, using an efficient technique for video copy detection in large archives.  ...  Figure 4 presents the Precision/Recall curves obtained for the two techniques.  ... 
doi:10.1109/icme.2007.4285092 dblp:conf/icmcs/Law-ToGBB07 fatcat:22alfqs3czc5xk4atbgw5feqay

Challenges and techniques for effective and efficient similarity search in large video databases

Jie Shao, Heng Tao Shen, Xiaofang Zhou
2008 Proceedings of the VLDB Endowment  
Searching relevant visual information based on content features in large databases is an interesting and changeling topic that has drawn lots of attention from both the research community and industry.  ...  We briefly introduce some novel techniques developed for two specific tasks studied in this PhD project: video retrieval in a large collection of segmented video clips, and video subsequence identification  ...  process but post-production editing.  ... 
doi:10.14778/1454159.1454232 fatcat:yim6vfqszbh6tavpxuagrvhbnu

Discriminant local features selection using efficient density estimation in a large database

Alexis Joly, Olivier Buisson
2005 Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval - MIR '05  
We first introduce a new fast density estimation technique using a simple grid index structure and specific queries based on the energy of the gaussian function.  ...  In this paper, we propose a density-based method to select discriminant local features in images or videos.  ...  The authors would like to thank the Japanese National Institute of Informatics who generously provided the video clips used in this paper and especially Pr. Satoh and F.  ... 
doi:10.1145/1101826.1101859 dblp:conf/mir/JolyB05 fatcat:oaq2pxcz2fcyddv35r7ivzr2ym

IMAGE ENHANCEMENT FOR IMPAIRED VISION: THE CHALLENGE OF EVALUATION

ELI PELI, RUSSELL L. WOODS
2009 International journal on artificial intelligence tools  
For over 20 years we have been developing video image-enhancement techniques designed to assist people with visual impairments, particularly those due to central retinal vision loss.  ...  This paper reviews our approaches to image enhancement and the results we have obtained, with special emphasis on the difficulties encountered in the evaluation of the benefits of enhancement and the solutions  ...  Enhancement of compressed video The approaches described above were based on the filtering of analog (uncompressed) video.  ... 
doi:10.1142/s0218213009000214 pmid:20161188 pmcid:PMC2727758 fatcat:7unylpavyjbhhn476alj5zusbm

Survey of Error Concealment techniques: Research directions and open issues

Muhammad Usman, Xiangjian He, Min Xu, Kin Man Lam
2015 2015 Picture Coding Symposium (PCS)  
We first focus on the EC techniques developed for the H.264/AVC standard. The advantages and disadvantages of these EC techniques are summarized with respect to the features in H.264.  ...  Error Concealment (EC) techniques use either spatial, temporal or a combination of both types of information to recover the data lost in transmitted video.  ...  EC techniques work as a post-process at the decoder side, and utilize spatial and/or temporal information from video sequences. This paper focuses on recent developments in EC techniques.  ... 
doi:10.1109/pcs.2015.7170081 dblp:conf/pcs/UsmanHXL15 fatcat:4x3h5eurovdilhba2rlo3o6rxq

A novel shot boundary detection framework

Wujie Zheng, Jinhui Yuan, Huiyi Wang, Fuzong Lin, Bo Zhang
2005 Visual Communications and Image Processing 2005  
For cut detection, a second-order difference method is firstly applied to obtain candidate cuts, and then a post-processing procedure is taken to eliminate the false positives.  ...  The key technique of FOI detector is the recognition of monochrome frames.  ...  To further reduce the disturbances, several post-processing modules have been implemented to sift the candidate shot boundaries. The curve of second-order difference for the two sequences.  ... 
doi:10.1117/12.631547 fatcat:gx6w7qtuure7fgcre2xgwdy54e

Content-Based Copy Retrieval Using Distortion-Based Probabilistic Similarity Search

A. Joly, O. Buisson, C. Frelicot
2007 IEEE transactions on multimedia  
We first propose a new approximate similarity search technique in which the probabilistic selection of the feature space regions is not based on the distribution in the database but on the distribution  ...  Furthermore, we show how the discrimination of the global retrieval can be enhanced during its post-processing step, by considering only the geometrically consistent matches.  ...  a post-processing step based on a registration algorithm and a vote (Section II-C).  ... 
doi:10.1109/tmm.2006.886278 fatcat:5jyy3zdvana3zew55eip7lxpce

Multimodal Saliency and Fusion for Movie Summarization Based on Aural, Visual, and Textual Attention

Georgios Evangelopoulos, Athanasia Zlatintsi, Alexandros Potamianos, Petros Maragos, Konstantinos Rapantzikos, Georgios Skoumas, Yannis Avrithis
2013 IEEE transactions on multimedia  
Detection of attention-invoking audiovisual segments is formulated in this work on the basis of saliency models for the audio, visual, and textual information conveyed in a video stream.  ...  The multimodal saliency representation forms the basis of a generic, bottom-up video summarization algorithm.  ...  Rodomagoulakis for the additional movie annotations, T. Apostolidis for providing the expert movie summaries, and the anonymous reviewers for their suggestions towards improving this paper.  ... 
doi:10.1109/tmm.2013.2267205 fatcat:jjt7xmjh5narlm5wr2strvrqza

Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imaging [article]

Roshan P Mathews, Mahesh Raveendranatha Panicker, Abhilash R Hareendranathan, Yale Tung Chen, Jacob L Jaremko, Brian Buchanan, Kiran Vishnu Narayan, Kesavadas C, Greeta Mathews
2021 arXiv   pre-print
The proposed video-summarization technique is a step in this direction that provides clinicians access to relevant key-frames from a given ultrasound scan (such as lung ultrasound) while reducing resource  ...  Our new paradigm for video summarization is capable of delivering classification labels and segmentation of key landmarks for each of the summarized keyframes.  ...  The authors are grateful to Compute Canada and the NVIDIA and CDAC for giving access to the PARAM SIDDHI AI system for providing the computing resources for the project.  ... 
arXiv:2109.01309v1 fatcat:urzvzwunczegppchpvy73vp4dq

EFFICIENT CONTENT-BASED IMAGE RETRIEVAL USING FUZZY ORGANIZATION AND OPTIMAL RELEVANCE FEEDBACK

ANASTASIOS DOULAMIS, NIKOLAOS DOULAMIS, THEODORA VARVARIGOU
2003 International Journal of Image and Graphics  
The performance of a Content-Based Image Retrieval System (CBIR) depends a) on the system adaptability to the user's information needs, which permits different type of indexing and simultaneously reduces  ...  The second issue is addressed by proposing a computationally efficient relevance feedback mechanism based on an optimal weight updating strategy.  ...  Acknowledgements The authors would like to thank all the anonymous Reviewers for their constructive and fruitful comments, which helped us in improving the quality presentation, and the organization of  ... 
doi:10.1142/s0219467803000968 fatcat:aallkmdnx5d6xiqsfp3aabzshm

An automatic method to detect and track the glottal gap from high speed videoendoscopic images

Gustavo Andrade-Miranda, Juan I. Godino-Llorente, Laureano Moro-Velázquez, Jorge Andrés Gómez-García
2015 BioMedical Engineering OnLine  
The analysis is based not only on the direct observation of the video sequences, but also in an objective characterization of the phonation process by means of features extracted from the recorded images  ...  Conclusions: The novelties of the proposed algorithm relies on the used of temporal information for identify an adaptive ROI and the use of watershed merging combined with active contours for the glottis  ...  Acknowledgements Special thanks to Gilles Degottex and Erkki Bianco for sharing their valuable IRCAM High-speed database.  ... 
doi:10.1186/s12938-015-0096-3 pmid:26510707 pmcid:PMC4625946 fatcat:zp77qp3dx5bmzk5nsj6kv5xfvq

Personalizing Fast-Forward Videos Based on Visual and Textual Features from Social Network

Washington L. S. Ramos, Michel M. Silva, Edson R. Araujo, Alan C. Neves, Alan C. Neves
2020 2020 IEEE Winter Conference on Applications of Computer Vision (WACV)  
In this paper, we present a new approach to automatically creating personalized fast-forward videos for FPVs.  ...  The growth of Social Networks has fueled the habit of people logging their day-to-day activities, and long First-Person Videos (FPVs) are one of the main tools in this new habit.  ...  We thank the agencies CAPES, CNPq, and FAPEMIG for funding different parts of this work. We also thank NVIDIA Corporation for the donation of a Titan XP GPU used in this research.  ... 
doi:10.1109/wacv45572.2020.9093330 dblp:conf/wacv/RamosSANN20 fatcat:ti4ri3wvkna7pdwnm3dr3o6zgu

Deep-learning based detection of COVID-19 using lung ultrasound imagery

Julia Diaz-Escobar, Nelson E. Ordóñez-Guillén, Salvador Villarreal-Reyes, Alejandro Galaviz-Mosqueda, Vitaly Kober, Raúl Rivera-Rodriguez, Jose E. Lozano Rizk, Robertas Damaševičius
2021 PLoS ONE  
InceptionV3- and Xception-based models can be used to further develop a viable computer-assisted screening tool for COVID-19 based on ultrasound imagery.  ...  Post-hoc analysis showed statistically significant differences between the performance obtained with the InceptionV3-based model and POCOVID-net, VGG19-, and ResNet50-based models.  ...  Related work on computer-assisted analysis of LUS Earliest studies involving computer-assisted LUS imaging analysis were based on image processing techniques [42] [43] [44] .  ... 
doi:10.1371/journal.pone.0255886 fatcat:43ymkojevfewhbg7muwpbigezm

Intelligent Assisting Tools for Endodontic Treatment [chapter]

Csaba Dobo-Nagy, Balazs Benyo
2019 Computer Vision in Dentistry [Working Title]  
We focus on the shapes of human root canals and their automatic classification, methods for automatic processing, and center line identification of tooth root canal as defined previously.  ...  We introduce some micro-computed tomography image analysis methods possible for clinical implementation of cone beam computed tomography image analysis in endodontics and limitations of novel techniques  ...  Based on this short literature survey, the image processing methods aiming the extraction of the of the root canal center line can be divided into two main phases: 1.  ... 
doi:10.5772/intechopen.84900 fatcat:2v3ahayufvbffis27adqm2unsu
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