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2013
2013 IEEE International Symposium on Multimedia
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Summarization and Recommendation Modeling, Characterization and Recommendation of Multimedia Web Content Services ...................................................................................... ...
Little Multimedia Systems A Two-Phase Generation Model for Automatic Image Annotation ...........................................................155 Liang Xie, Peng Pan, Yansheng Lu, Shixun Wang, Tong ...
doi:10.1109/ism.2013.4
fatcat:xmuit4euwzcmfd6nzseqttatje
MultiEdTech 2017
2017
Proceedings of the 2017 ACM on Multimedia Conference - MM '17
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, summarization, recommendation, and visualization technologies on multimedia content available in specialized learning platforms, the Web, mobile devices and/or social networks for supporting personalized ...
CCS CONCEPTS • Information systems → Multimedia information systems; Multimedia and multimodal retrieval; Semantic web description Permission to make digital or hard copies of part or all of this work ...
Furthermore, we thank the reviewers for their great effort in ensuring a high-quality of the workshop and providing timely response on the submitted papers, and the ACM Multimedia 2017 Chairs for making ...
doi:10.1145/3123266.3132056
dblp:conf/mm/ScherpMKH17
fatcat:w3rf4tp5bngufbnpxtxnapyk5u
Music videos miner
2003
Proceedings of the eleventh ACM international conference on Multimedia - MULTIMEDIA '03
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Automatic recommender systems can use the information in the summary for clustering the music videos and selecting songs to compile a playlist and recommending new music to the user. ...
Another scenario is to use the Music Video Miner coupled with automatic audio/video recommenders. ...
doi:10.1145/957102.957103
fatcat:qrccyat6yzef3es5eq2sk2lnfi
Multimedia Grand Challenge 2012
2013
IEEE Multimedia
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The six challenges for 2012 were as follows: Google: Automatic Generation of Music Videos Google challenged the multimedia community to come up with methods for automatically generating music videos, either ...
Given an affective word, such as "sweet," the system automatically adjusts the image colors. ...
doi:10.1109/mmul.2013.8
fatcat:45gmsxrztbeonhg2rn2cmbfqv4
Special issue on multimedia recommendation and multi-modal data analysis
2019
Multimedia Systems
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In the paper entitled "An App Usage Recommender System: Improving Prediction Accuracy for Both Warm and Cold Start Users", an approach is proposed to predict next app usage. ...
In the paper entitled "Multi-Guiding Long-Short Term Memory for Video Captioning", the authors propose a multimodal long-short-term memory, which is an extension of the conventional LSTM network for video ...
doi:10.1007/s00530-019-00639-3
fatcat:z2qpdombobf4zonjjpe5pvfqrm
The holy grail of content-based media analysis
2002
IEEE Multimedia
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Such metadata facilitates developing innovative tools and systems for multimedia information retrieval, summarization, delivery, and manipulation. ...
We've seen a common theme of developing automatic analysis techniques for deriving metadata (data describing information in the content at both syntactic and semantic levels). ...
Such metadata facilitates developing innovative tools and systems for multimedia information retrieval, summarization, delivery, and manipulation. ...
doi:10.1109/93.998041
fatcat:5u75gtsntnffhhujdq32l3vtum
Character index
2011
2011 IEEE International Conference on Multimedia and Expo
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VIDEO CODECS SEARCH BY MOBILE IMAGE BASED ON VISUAL AND SPATIAL CONSISTENCY Alexander Loui AUTOMATIC CONSUMER VIDEO SUMMARIZATION BY AUDIO AND VISUAL ANALYSIS A CONTENT-BASED VIDEO FAST-FORWARD PLAYBACK ...
Ulges AUTOMATIC DETECTION OF CHILD PORNOGRAPHY USING COLOR VISUAL WORDS SMART VIDEO BUDDY -CONTENT-BASED LIVE RECOMMENDATION Kishor Upla A FAST APPROACH FOR EDGE PRESERVING SUPER-RESOLUTION Andreu Urruela ...
doi:10.1109/icme.2011.6011827
fatcat:wjy7yvkmvbbf3hj4wbyjapx5gu
Enhancing Video Recommendation Using Multimedia Content
[chapter]
2019
SpringerBriefs in Applied Sciences and Technology
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video recommender systems have been elaborated, implemented, and analyzed. ...
The results of this thesis can motivate the fact that recommender system research can benefit from knowledge in multimedia signal processing and machine learning established over the last decades for solving ...
Enhancing Video Recommendation Using Multimedia Content
Enhancing Video Recommendation Using Multimedia Content ...
doi:10.1007/978-3-030-32094-2_6
fatcat:ejusjykphfbe3jwes6u3r55uxe
Multimodal-based Multimedia Analysis, Retrieval, and Services in Support of Social Media Applications
2016
Proceedings of the 2016 ACM on Multimedia Conference - MM '16
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For instance, recommending preference-aware multimedia content, the understanding of semantics and sentics from UGCs, and automatically computing tag relevance for UGIs are benefited from knowledge structures ...
and user-generated videos (UGVs) to provide diverse multimedia-related services. ...
multimedia-related applications such as tag ranking for social media photos [28] , automatic lecture video segmentations [26, 27] , adaptive news video uploading [24] , SMS-based FAQ retrieval systems ...
doi:10.1145/2964284.2971471
dblp:conf/mm/Shah16
fatcat:fqdt3wksh5cp5fvai2bchsf77a
Music videos miner
2003
Proceedings of the eleventh ACM international conference on Multimedia - MULTIMEDIA '03
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Automatic recommender systems can use the information in the summary for clustering the music videos and selecting songs to compile a playlist and recommending new music to the user. ...
Another scenario is to use the Music Video Miner coupled with automatic audio/video recommenders. ...
doi:10.1145/957013.957103
dblp:conf/mm/AgnihotriDKZ03
fatcat:u5iuffz7hrcr7fsem3hcljxlqy
Content-based video retrieval and summarization using MPEG-7
2003
Internet Imaging V
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Additionally semantic meaning about video content can be annotated based on domain specific ontologies, enabling a more targeted search for content. ...
This approach is valid for text documents and images, but is often insufficient to represent video content in a meaningful way. ...
Current research concentrates on modules such as personalization and programme recommendation, automatic recording, SMS/WAP/PDA alerting, searching, summarizing and content based navigation. ...
doi:10.1117/12.526834
fatcat:vmteatzu3bhfpb65jrrzo3fcaq
Metadata-driven multimedia access
2003
IEEE Signal Processing Magazine
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He holds an M.S. in engineering physics from Uppsala University. ...
He works in still-image compression, universal multimedia access, and augmented reality. ...
Multimedia content consumers will be able to capture their preferred content and employ software agents to automatically figure out their personal tastes and discover, select, and recommend new multimedia ...
doi:10.1109/msp.2003.1184338
fatcat:unyzcpre5jfwrh5qnwiwf4ecty
Assistive tagging
2012
ACM Computing Surveys
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Therefore, a set of new techniques has been developed by combining humans and computers for more accurate and efficient multimedia tagging, such as batch tagging, active tagging, tag recommendation, and ...
genre, quality, and content. ...
Tag recommendation by analyzing multimedia content is the most natural approach. It is actually similar to automatic tagging, as they both aim to find relevant tags for an image or a video clip. ...
doi:10.1145/2333112.2333120
fatcat:cvlxcazimvdjxigdvchjinnewe
Human-centered implicit tagging: Overview and perspectives
2012
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Tags are an effective form of metadata which help users to locate and browse multimedia content of interest. ...
Tags can be generated by users (user-generated explicit tags), automatically from the content (content-based tags), or assigned automatically based on non-verbal behavioral reactions of users to multimedia ...
In their image recommendation scenario, affective scores of images from the international affective picture system (IAPS) [35] were used as features for an image recommender. ...
doi:10.1109/icsmc.2012.6378301
dblp:conf/smc/SoleymaniP12
fatcat:eli5exdwljezdacaio5t2rz7x4
A System for Video Recommendation using Visual Saliency, Crowdsourced and Automatic Annotations
2015
Proceedings of the 23rd ACM international conference on Multimedia - MM '15
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In this paper we present a system for content-based video recommendation that exploits visual saliency to better represent video features and content 1 . ...
a more effective video representation used in the recommender system. ...
CONCLUSIONS In this paper we have presented a system that performs item-based video recommendation using a content based description of videos obtained from crowdsourced and automatic annotations. ...
doi:10.1145/2733373.2807982
dblp:conf/mm/FerracaniPBMB15
fatcat:3rwuw5etojdg3nelmpccy2jaei
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