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2013 2013 IEEE International Symposium on Multimedia  
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

Ansgar Scherp, Vasileios Mezaris, Thomas Köhler, Alexander Hauptmann
2017 Proceedings of the 2017 ACM on Multimedia Conference - MM '17  
, 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 systemsMultimedia 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

Lalitha Agnihotri, Nevenka Dimitrova, John Kender, John Zimmerman
2003 Proceedings of the eleventh ACM international conference on Multimedia - MULTIMEDIA '03  
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

Yushi Jing, Go Irie, Marcel Worring
2013 IEEE Multimedia  
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

Xiangnan He, Zhenguang Liu, Hanwang Zhang, Chong-Wah Ngo, Svebor Karaman, Yongfeng Zhang
2019 Multimedia Systems  
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

Shih-Fu Chang
2002 IEEE Multimedia  
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  
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]

Yashar Deldjoo
2019 SpringerBriefs in Applied Sciences and Technology  
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

Rajiv Ratn Shah
2016 Proceedings of the 2016 ACM on Multimedia Conference - MM '16  
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

Lalitha Agnihotri, Nevenka Dimitrova, John Kender, John Zimmerman
2003 Proceedings of the eleventh ACM international conference on Multimedia - MULTIMEDIA '03  
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

Werner Bailer, Harald Mayer, Helmut Neuschmied, Werner Haas, Mathias Lux, Werner Klieber, Simone Santini, Raimondo Schettini
2003 Internet Imaging V  
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

P. van Beek, J.R. Smith, T. Ebrahimi, T. Suzuki, J. Askelof
2003 IEEE Signal Processing Magazine  
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

Meng Wang, Bingbing Ni, Xian-Sheng Hua, Tat-Seng Chua
2012 ACM Computing Surveys  
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

Mohammad Soleymani, Maja Pantic
2012 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)  
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

Andrea Ferracani, Daniele Pezzatini, Marco Bertini, Saverio Meucci, Alberto Del Bimbo
2015 Proceedings of the 23rd ACM international conference on Multimedia - MM '15  
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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