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Discovering meaningful multimedia patterns with audio-visual concepts and associated text

L. Xie, L. Kennedy, S.-F. Chang, A. Divakarun, H. Sun, C.-Y. Lin
2004 International Conference on Image Processing, 2004. ICIP '04.  
The pattern-word association is obtained via co-occurrence analysis and statistical machine translation models.  ...  Promising results are obtained through extensive experiments on 20+ hours of TRECVID news videos: video patterns that associate with distinct topics such as el-nino and politics are identified; the HHMM  ...  Watson Research Center for the concept detection results, and M. Naphade, A. Natsev, and B. Tseng for providing additional visual concept detection results. We are grateful to W. Hsu and D.  ... 
doi:10.1109/icip.2004.1421580 dblp:conf/icip/XieKCDSL04 fatcat:enghgtbdqzgnjkqtfutg2xtcg4

Systematic Study of Video Mining with Its Applications [chapter]

Mallappa G. Mendagudli, K.G. Kharade, T. Nadana Ravishankar, K. Vengatesan
2021 Advances in Parallel Computing  
A video can include several different kinds of data, such as images, visuals, audio, text, and additional metadata.  ...  Data mining aims to discover and articulate exciting patterns that are hidden in a lot of video footage. While video mining is still in its infancy, data mining is more mature.  ...  An immediate threat is handling all the multimedia data, such as multimedia text, images, audio, and video, with an unnecessarily complicated structure such as multimedia text, images, audio, and video  ... 
doi:10.3233/apc210232 fatcat:moi6fosa4jeqdl4rpvwfevzdki

A Survey on Web Multimedia Mining

Pravin M. Kamde, Siddu. P. Algur
2011 The International Journal of Multimedia & Its Applications  
Multimedia mining deals with the extraction of implicit knowledge, multimedia data relationships, or other patterns not explicitly stored in multimedia files.  ...  Modern developments in digital media technologies has made transmitting and storing large amounts of multi/rich media data (e.g. text, images, music, video and their combination) more feasible and affordable  ...  Even television news has audio data, and in this case audio may have to be integrated with video and possibly text to capture the annotations and captions.  ... 
doi:10.5121/ijma.2011.3307 fatcat:dgvdft6tdra2lbdn6xkvr3ipsm

Knowledge Discovery using Various Multimedia Data Mining Technique

Ankita R
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
Multimedia data mining can be defined as the process of finding motivating patterns from media data such as audio mining , video mining, image mining and text mining that are not generally available by  ...  Data mining can be used to understandable meaningful patterns from huge databases and these patterns may be transformed into knowledge.  ...  Video Mining: Video contains a number of kinds of multimedia data for example text, image, metadata, visual and audio.  ... 
doi:10.17762/ijritcc2321-8169.150354 fatcat:4ygtetjrtbhlzbcxteo6b5s5qa

Multimedia Mining Research – An Overview

S Vijayarani, A Sakila
2015 International Journal of Computer Graphics & Animation  
Multimedia data mining is a popular research domain which helps to extract interesting knowledge from multimedia data sets such as audio, video, images, graphics, speech, text and combination of several  ...  This paper provides the basic concepts of multimedia mining and its essential characteristics.  ...  Image mining Image mining systems can discover meaningful information or image patterns from a huge collection of images.  ... 
doi:10.5121/ijcga.2015.5105 fatcat:wyhfj3qbubhs3dhrvdwt7bmfze

A study on video data mining

V. Vijayakumar, R. Nedunchezhian
2012 International Journal of Multimedia Information Retrieval  
Video is an example of multimedia data as it contains several kinds of data such as text, image, meta-data, visual and audio.  ...  The objective of video data mining is to discover and describe interesting patterns from the huge amount of video data as it is one of the core problem areas of the data-mining research community.  ...  The main challenge is to handle the multimedia data with a complex structure such as images, multimedia text, video and audio data [21, 60, 65, 72] .  ... 
doi:10.1007/s13735-012-0016-2 fatcat:xuuf3w3b2rfcxlyevzndz6v62e

Challenges of Interactive Multimedia Data Mining in Social and Behavioral Studies for latest Computing &Communication of an Ideal Applications

Mohammed Waseem Ashfaque, Abdul Samad Shaikh, Sumegh Tharewal, Sayyada Sara Banu, Mohammed Ali Sohail
2014 IOSR Journal of Computer Engineering  
So the advancement in computing, carrying towards its modern and smart technology, large amount of (Audio, Video) that is multimedia data is being required and collected in highly research labs for various  ...  In this paper our approach is to take in cash the human perception power system and the strength of computer algorithms. so this results into turning of the visualized and lead to the next round of visual  ...  Multimedia Databases Multimedia databases include video, images, and audio and text media.  ... 
doi:10.9790/0661-16672131 fatcat:fywxnwe3wfgtdmof6y5xgfq2gq

Discovering Sound Concepts and Acoustic Relations In Text [article]

Anurag Kumar, Bhiksha Raj, Ndapandula Nakashole
2017 arXiv   pre-print
In this paper we describe approaches for discovering acoustic concepts and relations in text.  ...  We also propose a method to define an acoustic scene through a set of sound concepts. We use pattern matching and parts of speech tags to generate sound concepts from large scale text corpora.  ...  Another architecture EventNet [18] tailored towards multimedia events organizes 500 multimedia events using over 4000 visual concepts.  ... 
arXiv:1609.07384v2 fatcat:gku7fmf6t5djbgzjbrfb4n6tri

A Systematic Review on Existing Data Mining Approaches Envisioned for Knowledge Discovery from Multimedia

Benaka Santosha S, Chitra Kiran N
2018 International Journal of Electrical and Computer Engineering (IJECE)  
However, due to complex characteristics of visual patterns and variations in video frames, it is not a trivial task to discover meaningful information and correlation.  ...  and discriminativefeatures associated with a video object.  ...  The unsupervised learning of different audio-visual patterns makes it an operationally challenging process.  ... 
doi:10.11591/ijece.v8i2.pp908-916 fatcat:oot2s7xx55hcdoddjant7ny6xy

Knowledge-assisted cross-media analysis of audio-visual content in the news domain

Vasileios Mezaris, Spyros Gidaros, Georgios Th. Papadopoulos, Walter Kasper, Roeland Ordelman, Franciska de Jong, Ioannis Kompatsiaris
2008 2008 International Workshop on Content-Based Multimedia Indexing  
The proposed analysis architecture employs state-of-the-art methods for the analysis of each individual modality (visual, audio, text) separately, and proposes a fusion technique based on the particular  ...  In this paper, a complete architecture for knowledge-assisted cross-media analysis of News-related multimedia content is presented, along with its constituent components.  ...  with a shot and thus ASR transcript analysis is not able to provide meaningful results.  ... 
doi:10.1109/cbmi.2008.4564958 dblp:conf/cbmi/MezarisGPKOJK08 fatcat:p2xpf3t3jzfk7akxspji5jthuu

Semantic Based Video Retrieval System: Survey

2018 Iraqi Journal of Science  
The transformation of low level features of the video content into meaningful semantic concepts is a research topic that has received considerable attention in recent years.  ...  The semantic gap is formed because of the difference between the low level features that are extracted from video content and user's perceptions of these features in a real world.  ...  The proposed system is compared with fusion the semantic features with text feature and low level feature for the event based retrieval task and the result indicates that audio semantic concepts capture  ... 
doi:10.24996/ijs.2018.59.2a.12 fatcat:6fvq6pygqzglbptl4czxpzbjbm

On Independent Component Analysis for Multimedia Signals [chapter]

Thomas Kolenda, Jan Larsen, Lars Kai Hansen
2000 Multimedia Image and Video Processing  
to text, images/video, audio and combinations of such data.  ...  Modeling of multimedia and multimodal data becomes increasingly important with the digitalization of the world.  ...  [21] operates from a fused data set of audio/visual data from video streams and discover combined subspace components amenable for interpretation.  ... 
doi:10.1201/9781420037562.ch7 fatcat:weavyd2fj5hixj4zl65jatzqdy

Spelling their pictures

Sneha Priscilla Makini, Ini Oguntola, Deb Roy
2020 Proceedings of the Interaction Design and Children Conference  
This paper presents Picture-Blocks (PB) -a constructionist mobile app that allows children (ages 5-9) to create personally meaningful digital pictures while exploring spelling and vocabulary concepts in  ...  PB also suggests semantically similar sprites, allowing children to explore related objects and discover new words.  ...  Williams for pointers on paper structure, and Fengjiao Peng and Lauren Fratamico for helping conduct the studies.  ... 
doi:10.1145/3392063.3394392 dblp:conf/acmidc/MakiniOR20 fatcat:jjohmg5plbajrlln5lk5rsnbri

A Survey on Image Mining, its Techniques and Application

Vaibhavi S., Jay Vala
2016 International Journal of Computer Applications  
We know that today's world is digital world and we have use digital data such as video, audio, images etc. in various fields for various purposes.  ...  In present scenario, image plays vital role in every aspect of business such as business images, satellite images, and medical images and so on.  ...  INTRODUCTION Multimedia data mining is used for extracting interesting information for multimedia data sets, such as audio, video, images, graphics, speech, text and combination of several types of data  ... 
doi:10.5120/ijca2016907978 fatcat:bx374plfefg7bjfs5r24npvehu


Simeon J. Simoff, Chabane Djeraba, Osmar R. Zaïane
2002 SIGKDD Explorations  
This report presents a brief overview of multimedia data mining and the corresponding workshop series at ACM SIGKDD conference series on data mining and knowledge discovery.  ...  It summarizes the presentations, conclusions and directions for future work that were discussed during the 3 rd edition of the  ...  to discover users concept patterns, especially to find where the user's most interested region was allocated and how to map the local feature vector of that region to the high-level concept pattern of  ... 
doi:10.1145/772862.772886 fatcat:o5webn3qe5awhoqyfr2dgqxtri
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