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2020 IEEE International Symposium on Multimedia (ISM)最新文献

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Remixing Music with Visual Conditioning 混合音乐与视觉条件
2020 IEEE International Symposium on Multimedia (ISM) Pub Date : 2020-10-27 DOI: 10.1109/ISM.2020.00039
Li-Chia Yang, Alexander Lerch
{"title":"Remixing Music with Visual Conditioning","authors":"Li-Chia Yang, Alexander Lerch","doi":"10.1109/ISM.2020.00039","DOIUrl":"https://doi.org/10.1109/ISM.2020.00039","url":null,"abstract":"We propose a visually conditioned music remixing system by incorporating deep visual and audio models. The method is based on a state of the art audio-visual source separation model which performs music instrument source separation with video information. We modified the model to work with user-selected images instead of videos as visual input during inference to enable separation of audio-only content. Furthermore, we propose a remixing engine that generalizes the task of source separation into music remixing. The proposed method is able to achieve improved audio quality compared to remixing performed by the separate-and-add method with a state-of-the-art audiovisual source separation model.","PeriodicalId":120972,"journal":{"name":"2020 IEEE International Symposium on Multimedia (ISM)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121265313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Video Quality Enhancement Using Deep Learning-Based Prediction Models for Quantized DCT Coefficients in MPEG I-frames 基于深度学习的MPEG i帧量化DCT系数预测模型的视频质量增强
2020 IEEE International Symposium on Multimedia (ISM) Pub Date : 2020-10-09 DOI: 10.1109/ISM.2020.00012
A. Busson, P. Mendes, D. D. S. Moraes, Á. Veiga, Alan Livio Vasconcelos Guedes, S. Colcher
{"title":"Video Quality Enhancement Using Deep Learning-Based Prediction Models for Quantized DCT Coefficients in MPEG I-frames","authors":"A. Busson, P. Mendes, D. D. S. Moraes, Á. Veiga, Alan Livio Vasconcelos Guedes, S. Colcher","doi":"10.1109/ISM.2020.00012","DOIUrl":"https://doi.org/10.1109/ISM.2020.00012","url":null,"abstract":"Recent works have successfully applied some types of Convolutional Neural Networks (CNNs) to reduce the noticeable distortion resulting from the lossy JPEG/MPEG compression technique. Most of them are built upon the processing made on the spatial domain. In this work, we propose a MPEG video decoder that is purely based on the frequency-to-frequency domain: it reads the quantized DCT coefficients received from a low-quality I-frames bitstream and, using a deep learning-based model, predicts the missing coefficients in order to recompose the same frames with enhanced quality. In experiments with a video dataset, our best model was able to improve from frames with quantized DCT coefficients corresponding to a Quality Factor (QF) of 10 to enhanced quality frames with QF slightly near to 20.","PeriodicalId":120972,"journal":{"name":"2020 IEEE International Symposium on Multimedia (ISM)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127593572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Clustering-Based Method for Automatic Educational Video Recommendation Using Deep Face-Features of Lecturers 基于聚类的讲师深度人脸特征教育视频自动推荐方法
2020 IEEE International Symposium on Multimedia (ISM) Pub Date : 2020-10-09 DOI: 10.1109/ISM.2020.00034
P. Mendes, Eduardo S. Vieira, Alan Livio Vasconcelos Guedes, A. Busson, S. Colcher
{"title":"A Clustering-Based Method for Automatic Educational Video Recommendation Using Deep Face-Features of Lecturers","authors":"P. Mendes, Eduardo S. Vieira, Alan Livio Vasconcelos Guedes, A. Busson, S. Colcher","doi":"10.1109/ISM.2020.00034","DOIUrl":"https://doi.org/10.1109/ISM.2020.00034","url":null,"abstract":"Discovering and accessing specific content within educational video bases is a challenging task, mainly because of the abundance of video content and its diversity. Recommender systems are often used to enhance the ability to find and select content. But, recommendation mechanisms, especially those based on textual information, exhibit some limitations, such as being error-prone to manually created keywords or due to imprecise speech recognition. This paper presents a method for generating educational video recommendations using deep face-features of lecturers without identifying them. More precisely, we use an unsupervised face clustering mechanism to create relations among the videos based on the lecturer's presence. Then, for a selected educational video taken as a reference, we recommend the ones where the presence of the same lecturers is detected. Moreover, we rank these recommended videos based on the amount of time the referenced lecturers were present. For this task, we achieved an mAP value of 99.165%.","PeriodicalId":120972,"journal":{"name":"2020 IEEE International Symposium on Multimedia (ISM)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124587312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Visual Summarization of Lecture Video Segments for Enhanced Navigation 讲座视频片段的视觉总结，以增强导航功能
2020 IEEE International Symposium on Multimedia (ISM) Pub Date : 2020-06-03 DOI: 10.1109/ISM.2020.00033
Mohammad Rajiur Rahman, J. Subhlok, Shishir K. Shah
{"title":"Visual Summarization of Lecture Video Segments for Enhanced Navigation","authors":"Mohammad Rajiur Rahman, J. Subhlok, Shishir K. Shah","doi":"10.1109/ISM.2020.00033","DOIUrl":"https://doi.org/10.1109/ISM.2020.00033","url":null,"abstract":"Lecture video is an increasingly important learning resource. However, the challenge of quickly finding the content of interest in a long lecture video is a critical limitation of this format. This paper introduces visual summarization of lecture video segments to improve navigation. A lecture video is divided into segments based on the frame-to-frame similarity of content. The user navigates a lecture video assisted by single frame visual and textual summaries of segments. The paper presents a novel methodology to generate the visual summary of a lecture video segment by estimating the importance of each image in the segment, computing similarities between the images, and employing a graph-based algorithm to identify the most representative images. The summarization framework developed is integrated into a real-world lecture video management portal called Videopoints. An evaluation with ground truth from human experts established that the algorithms presented are significantly superior to random selection as well as clustering based selection, and only modestly inferior to human selection. Over 65% of automatically generated summaries were rated at Good or better by the users. Overall, the methodology introduced in this paper was shown to produce good quality visual summaries that are practically useful for lecture video navigation.","PeriodicalId":120972,"journal":{"name":"2020 IEEE International Symposium on Multimedia (ISM)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115203641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Message from the General Chairs 主席致辞
2020 IEEE International Symposium on Multimedia (ISM) Pub Date : 2018-12-01 DOI: 10.1109/t4e.2018.00005
B. Thuraisingham, Yongxin Zhu, J. Dongarra, Meikang Qiu
{"title":"Message from the General Chairs","authors":"B. Thuraisingham, Yongxin Zhu, J. Dongarra, Meikang Qiu","doi":"10.1109/t4e.2018.00005","DOIUrl":"https://doi.org/10.1109/t4e.2018.00005","url":null,"abstract":"Representatives of collaborating organizations, delegates from all supporters, it is our great pleasure and honor as General Chairs of IEEE CSE/EUC 2019 to welcome you to the 22nd IEEE International Conference on Computational Science and Engineering (IEEE CSE 2019) and 17th IEEE International Conference on Embedded and Ubiquitous Computing (IEEE EUC 2019), and the co-located events. IEEE CSE/EUC 2019 Committees organize these two colocated conferences.","PeriodicalId":120972,"journal":{"name":"2020 IEEE International Symposium on Multimedia (ISM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116032020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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