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Displaying 1-50 out of 64 total
Video Event Detection Using Temporal Pyramids of Visual Semantics with Kernel Optimization and Model Subspace Boosting
Found in: 2012 IEEE International Conference on Multimedia and Expo (ICME)
By Noel C.F. Codella,Apostol Natsev,Gang Hua,Matthew Hill,Liangliang Cao,Leiguang Gong,John R. Smith
Issue Date:July 2012
pp. 747-752
In this study, we present a system for video event classification that generates a temporal pyramid of static visual semantics using minimum-value, maximum-value, and average-value aggregation techniques. Kernel optimization and model subspace boosting are...
 
The Search for Interoperability
Found in: IEEE Multimedia
By John R. Smith, John R. Smith
Issue Date:July 2008
pp. 84-87
The proliferation of digital video, photos, and other forms of rich media is a great indicator of the growing interest in online digital content. With this explosion in content, though, comes the challenge of finding relevant content. Unfortunately, today'...
 
Using MPEG-7 and MPEG-21 for Personalizing Video
Found in: IEEE Multimedia
By Belle L. Tseng, Ching-Yung Lin, John R. Smith
Issue Date:January 2004
pp. 42-53
<p>As multimedia content has proliferated over the past several years, users have begun to expect that content be easily accessed according to their own preferences. One of the most effective ways to do this is through using the MPEG-7 and MPEG-21 st...
 
Adapting Content to Client Resources in the Internet
Found in: Multimedia Computing and Systems, International Conference on
By Rakesh Mohan, John R. Smith, Chung-Sheng Li
Issue Date:June 1999
pp. 9302
We address the delivery of composite multimedia documents, namely Web pages, over the Internet to clients with diverse resources and capabilities. We do so by adapting the multimedia content to meet the client device characteristics. We model the adaptatio...
 
An Effective Strategy for Porting C++ Applications on Cell
Found in: Parallel Processing, International Conference on
By Ana Lucia Varbanescu, Henk Sips, Kenneth A. Ross, Qiang Liu, Lurng-Kuo Liu, Apostol (Paul) Natsev, John R. Smith
Issue Date:September 2007
pp. 59
In this paper we present a solution for efficient porting of sequential C++ applications on the Cell B.E. processor. We present our step-by-step approach, focusing on its generality, we provide a set of code templates and optimization guidelines to support...
 
An e-Marketplace Infrastructure for Model-Based Matchmaking between Consumers and Providers of Multimodal Earth Science Data
Found in: Multimedia and Expo, IEEE International Conference on
By Chung-Sheng Li, Yuan-Chi Chang, John R. Smith
Issue Date:August 2001
pp. 312
As the earth science data and information products begin to proliferate due to the increased number of earth observing instruments and platforms, it has become increasingly difficult for the end consumer to leverage the wide variety of available earth scie...
 
Large-Scale Concept Ontology for Multimedia
Found in: IEEE Multimedia
By Milind Naphade, John R. Smith, Jelena Tesic, Shih-Fu Chang, Winston Hsu, Lyndon Kennedy, Alexander Hauptmann, Jon Curtis
Issue Date:July 2006
pp. 86-91
As increasingly powerful techniques emerge for machine tagging multimedia content, it becomes ever more important to standardize the underlying vocabularies. Doing so provides interoperability and lets the multimedia community focus ongoing research on a w...
 
Metadata Standards Roundup
Found in: IEEE Multimedia
By John R. Smith, Peter Schirling
Issue Date:April 2006
pp. 84-88
Metadata standards are an important key to unlocking the value of multimedia data. Yet, the field of multimedia metadata standards still isn't mature. Although we routinely work with multimedia content on our PCs and consumer electronics devices, metadata ...
 
Reconstructing Events
Found in: IEEE MultiMedia
By John R. Smith
Issue Date:April 2013
pp. 2-3
Growing multicamera, multiperspective image capture provides the opportunity to reconstruct and recount real-world events at a fine resolution.
 
Visually Searching the Web for Content
Found in: IEEE Multimedia
By John R. Smith, Shih-Fu Chang
Issue Date:July 1997
pp. 12-20
We describe a system prototype for searching for images and videos on the World Wide Web. New visual information in the form of images, graphics, animations, and videos is being published on the Web at an incredible rate. However, cataloging all this infor...
 
Herding Cats
Found in: IEEE MultiMedia
By John R. Smith
Issue Date:October 2013
pp. 2-3
Video search needs effective and efficient techniques for video summarization to enable rapid triage and finding relevant video contents.
 
History Made Every Day
Found in: IEEE Multimedia
By John R. Smith
Issue Date:July 2011
pp. 2-3
The number and density of digital photos taken in cities is making it possible to automatically contextualize the photos and capture the continuous history across places, people, events, and objects of interest.
   
Express Yourself
Found in: IEEE Multimedia
By John R. Smith
Issue Date:January 2011
pp. 2, 3
<p>Multimedia technology is fostering new developments in the arts and in online services that create customized, multimedia content based on personal photos and videos.</p>
 
Unleashing Video Search
Found in: Image Analysis for Multimedia Interactive Services, International Workshop on
By John R. Smith
Issue Date:May 2008
pp. 2
Video is rapidly becoming a regular part of our digital lives. However, its tremendous growth is increasing users’ expectations that video will be as easy to search as text. Unfortunately, users are still finding it difficult to find relevant content. And ...
   
Guest Editor's Introduction: What's New with MPEG?
Found in: IEEE Multimedia
By John R. Smith
Issue Date:October 2005
pp. 16-17
What's New with MPEG?
 
Towards Understanding the Effectiveness of Election Related Images in Social Media
Found in: 2013 IEEE 13th International Conference on Data Mining Workshops (ICDMW)
By Junhuan Zhu,Jiebo Luo,Quanzeng You,John R. Smith
Issue Date:December 2013
pp. 421-425
In recent years, political campaigns have paid increasing attention to social media. During the election period, numerous election related images are posted. However, not all the images have the same effectiveness, and researchers have not investigated the...
 
A Statistical Modeling Approach to Content Based Video Retrieval
Found in: Pattern Recognition, International Conference on
By Milind R. Naphade, Sankar Basu, John R. Smith, Ching-Yung Lin, Belle Tseng
Issue Date:August 2002
pp. 20953
Statistical modeling for content based retrieval is examined in the context of recent TREC Video benchmark exercise. The TREC Video exercise can be viewed as a test bed for evaluation and comparison of a variety of different algorithms on a set of high-lev...
 
Unsupervised One-Class Learning for Automatic Outlier Removal
Found in: 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Wei Liu,Gang Hua,John R. Smith
Issue Date:June 2014
pp. 3826-3833
Outliers are pervasive in many computer vision and pattern recognition problems. Automatically eliminating outliers scattering among practical data collections becomes increasingly important, especially for Internet inspired vision applications. In this pa...
 
Design and evaluation of an effective and efficient video copy detection system
Found in: Multimedia and Expo, IEEE International Conference on
By Apostol (Paul) Natsev, Matthew Hill, John R. Smith
Issue Date:July 2010
pp. 1353-1358
We consider the end-to-end system design and evaluation of an efficient and effective system for video copy detection that bridges the gap between computationally expensive methods and practical applications. We use a compact SIFT-based bag-of-words finger...
 
A Wavelet Framework for Adapting Data Cube Views for OLAP
Found in: IEEE Transactions on Knowledge and Data Engineering
By John R. Smith, Chung-Sheng Li, Anant Jhingran
Issue Date:May 2004
pp. 552-565
<p><b>Abstract</b>—This article presents a method for adaptively representing multidimensional data cubes using wavelet view elements in order to more efficiently support data analysis and querying involving aggregations. The proposed met...
 
An Adaptive Threshold Logic Gate Using Capacitive Analog Weights
Found in: IEEE Transactions on Computers
By John R. Smith, Cyrus O. Harbourt
Issue Date:January 1968
pp. 78-81
A physical realization of an adaptive threshold logic gate which can be used to realize linearly separable switching functions is presented. The system is completely electronic and is easily implemented in the sense that standard components may be used thr...
 
Clicking on Things
Found in: IEEE Multimedia
By John R. Smith
Issue Date:October 2010
pp. 2-3
<p>Physical objects are being linked to the digital world using multimedia technologies like audiovisual content recognition and large-scale multimedia content-based search.</p>
 
How Many Visual Concepts?
Found in: IEEE MultiMedia
By John R. Smith
Issue Date:January 2014
pp. 2-3
Visual scenes require complex description and modeling that involves more than a list of words. The visual semantic concept basis is larger than the number of unique words. More efforts are needed to build out the set of visual semantic concepts.
   
Lessons in Learning
Found in: IEEE MultiMedia
By John R. Smith
Issue Date:July 2013
pp. 2-3
Machine learning has become an indispensible tool for the multimedia community. Given large amounts of data, computers using machine learning are able to create rich representations and accomplish impressive discrimination tasks. Yet, the way machines lear...
 
Just the Facets
Found in: IEEE MultiMedia
By John R. Smith
Issue Date:January 2013
pp. 92
Classification schemes are needed to catalog the growing numbers of images. Facets are an important technique from library science that can help to more effectively represent visual concepts.
 
Problems Gone By?
Found in: IEEE MultiMedia
By John R. Smith
Issue Date:October 2012
pp. 2-4
Multimedia research has taken on many technical problems over the last decade. Problems such as video on demand and face recognition receive less focus today, while others like content-based retrieval and social media are gaining focus. Different factors c...
 
Rich Media, Poor Media
Found in: IEEE Multimedia
By John R. Smith
Issue Date:July 2012
pp. 2-3
Authoring of rich media content is not prevalent despite efforts to develop standards, tools, and platforms. Average users prefer to keep it simple. However, growing interest in stylizing content and pinning media objects is putting average users on a new ...
 
A Virtual Opinion
Found in: IEEE Multimedia
By John R. Smith
Issue Date:April 2012
pp. 2-3
Social media provides new opportunities for sharing health-related data online. Although crowdsourcing medical diagnoses is not yet the trend, people are using social media to seek answers and better understand treatments and outcomes as doctors, experts, ...
   
Minding the Gap
Found in: IEEE Multimedia
By John R. Smith
Issue Date:January 2012
pp. 2-3
No summary available.
 
Open Channel for News
Found in: IEEE Multimedia
By John R. Smith
Issue Date:October 2011
pp. 2-3
The shift to consumption of news in digital form, as more users access information with mobile and portable devices, is driving a new premium for timeliness and immediacy of news reporting. Increasingly computer-based systems will be able to continuously m...
 
A Great Challenge
Found in: IEEE Multimedia
By John R. Smith
Issue Date:April 2011
pp. 2-3
<p>Evaluations, benchmarks, and challenges are essential for scientific advancement of multimedia. A great challenge is still needed to capture imagination of the broader community and mark our progress in the multimedia field.</p>
 
The Not So Newlywed Game
Found in: IEEE Multimedia
By John R. Smith
Issue Date:July 2010
pp. 2-3
<p>Digital photo collections contain a wealth of information that can provide tremendous insights. Photo metadata in the form of geotags and timestamps coupled with extracted descriptors about people and other semantic content allows photo collection...
 
The Red Balloon
Found in: IEEE Multimedia
By John R. Smith
Issue Date:April 2010
pp. 2-3
<p>DARPA's network challenge to find ten red balloons is inspiring for the multimedia community to imagine the possibilities of automated image searching with real-world scene matching and geolocation capability at a massive scale.</p>
 
ResGrid: A Grid-aware Toolkit for Reservoir Uncertainty Analysis
Found in: Cluster Computing and the Grid, IEEE International Symposium on
By Zhou Lei, Dayong Huang, Archit Kulshrestha, Santiago Pena, Gabrielle Allen, Xin Li, Christopher White, Richard Duff, John R. Smith, Subhash Kalla
Issue Date:May 2006
pp. 249-252
Many efforts in Grid communities have focused on middleware research and development. However, Grid application-level tools are needed which can build higherlevel functionality on top of core middleware services. We work with specific classes of scientific...
 
Making the Threshold Algorithm Access Cost Aware
Found in: IEEE Transactions on Knowledge and Data Engineering
By Christian A. Lang, Yuan-Chi Chang, John R. Smith
Issue Date:October 2004
pp. 1297-1301
Assume a database storing N objects with d numerical attributes or feature values. All objects in the database can be assigned an overall score that is derived from their single feature values (and the feature values of a user-defined query). The problem c...
 
The 3G-324M Protocol for Conversational Video Telephony
Found in: IEEE Multimedia
By John R. Smith, Marwan A. Jabri
Issue Date:July 2004
pp. 102-105
No summary available.
 
Learning Locally-Adaptive Decision Functions for Person Verification
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Zhen Li,Shiyu Chang,Feng Liang,Thomas S. Huang,Liangliang Cao,John R. Smith
Issue Date:June 2013
pp. 3610-3617
This paper considers the person verification problem in modern surveillance and video retrieval systems. The problem is to identify whether a pair of face or human body images is about the same person, even if the person is not seen before. Traditional met...
 
Designing Category-Level Attributes for Discriminative Visual Recognition
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Felix X. Yu,Liangliang Cao,Rogerio S. Feris,John R. Smith,Shih-Fu Chang
Issue Date:June 2013
pp. 771-778
Attribute-based representation has shown great promises for visual recognition due to its intuitive interpretation and cross-category generalization property. However, human efforts are usually involved in the attribute designing process, making the repres...
 
Visual memes in social media: tracking real-world news in YouTube videos
Found in: Proceedings of the 19th ACM international conference on Multimedia (MM '11)
By Apostol Natsev, John R. Kender, John R. Smith, Lexing Xie, Matthew Hill
Issue Date:November 2011
pp. 53-62
We propose visual memes, or frequently reposted short video segments, for tracking large-scale video remix in social media. Visual memes are extracted by novel and highly scalable detection algorithms that we develop, with over 96% precision and 80% recall...
     
Video genetics: a case study from YouTube
Found in: Proceedings of the international conference on Multimedia (MM '10)
By Apostol (Paul) Natsev, John R. Kender, John R. Smith, Lexing Xie, Matthew L. Hill
Issue Date:October 2010
pp. 1253-1258
We explore in a single but large case study how videos within YouTube, competing for view counts, are like organisms within an ecology, competing for survival. We develop this analogy, whose core idea shows that short video clips, best detected across vide...
     
On the detection of semantic concepts at TRECVID
Found in: Proceedings of the 12th annual ACM international conference on Multimedia (MULTIMEDIA '04)
By John R. Smith, Milind R. Naphade
Issue Date:October 2004
pp. 660-667
Semantic multimedia management is necessary for the effective and widespread utilization of multimedia repositories and realizing the potential that lies untapped in the rich multimodal information content. This challenge has driven researchers to devise n...
     
Semantic representation: search and mining of multimedia content
Found in: Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '04)
By Apostol (Paul) Natsev, John R. Smith, Milind R. Naphade
Issue Date:August 2004
pp. 641-646
Semantic understanding of multimedia content is critical in enabling effective access to all forms of digital media data. By making large media repositories searchable, semantic content descriptions greatly enhance the value of such data. Automatic semanti...
     
Massive-scale multimedia semantic modeling
Found in: Proceedings of the 21st ACM international conference on Multimedia (MM '13)
By Liangliang Cao, John R. Smith
Issue Date:October 2013
pp. 1113-1114
Visual data is exploding! 500 billion consumer photos are taken each year world-wide, 633 million photos taken per year in NYC alone. 120 new video-hours are uploaded on YouTube per minute. The explosion of digital multimedia data is creating a valuable op...
     
What happens where?
Found in: Proceedings of the 2nd ACM international workshop on Geotagging and its applications in multimedia (GeoMM '13)
By John R. Smith
Issue Date:October 2013
pp. 3-4
The explosion of geo-tagged images taken from mobile devices around the world is visually capturing life at amazingly high spatial-, temporal-, and semantic-density. In places like cities, which cover only 3% of the Earth's landmass, yet account for 50% of...
     
Riding the multimedia big data wave
Found in: Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval (SIGIR '13)
By John R. Smith
Issue Date:July 2013
pp. 1-2
In this talk we present a perspective across multiple industry problems, including safety and security, medical, Web, social and mobile media, and motivate the need for large-scale analysis and retrieval of multimedia data. We describe a multi-layer archit...
     
The accuracy and value of machine-generated image tags: design and user evaluation of an end-to-end image tagging system
Found in: Proceedings of the ACM International Conference on Image and Video Retrieval (CIVR '10)
By Alex Phillips, Apostol Natsev, John R. Smith, Lexing Xie, Matthew Hill
Issue Date:July 2010
pp. 58-65
Automated image tagging is a problem of great interest, due to the proliferation of photo sharing services. Researchers have achieved considerable advances in understanding motivations and usage of tags, recognizing relevant tags from image content, and le...
     
The 1st workshop on large-scale multimedia retrieval and mining (LS-MMRM'09)
Found in: Proceedings of the seventeen ACM international conference on Multimedia (MM '09)
By John R. Smith, Qi Tian, Rahul Sukthankar, Rong Yan
Issue Date:October 2009
pp. 1151-1152
This workshop, as the first of its kind, aims to bring together researchers and industrial practitioners interested in large-scale multimedia data retrieval and mining. The workshop will provide a venue for the participants to explore a variety of aspects ...
     
Large-scale multimedia semantic concept modeling using robust subspace bagging and MapReduce
Found in: Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining (LS-MMRM '09)
By Apostol Natsev, John R. Smith, Marc-Olivier Fleury, Michele Merler, Rong Yan
Issue Date:October 2009
pp. 35-42
With the rapid growth of multimedia data, it becomes increasingly important to develop semantic concept modeling approaches that are consistently effective, highly efficient, and easily scalable. To this end, we first propose the robust subspace bagging (R...
     
IBM multimedia analysis and retrieval system
Found in: Proceedings of the 2008 international conference on Content-based image and video retrieval (CIVR '08)
By Apostol Natsev, Jelena Tesie, John R. Smith, Lexing Xie, Rong Yan
Issue Date:July 2008
pp. 569-570
IBM Multimedia Analysis and Retrieval System is a Web-based technology that makes digital photos and video searchable through automated classification and indexing.
     
Model-shared subspace boosting for multi-label classification
Found in: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '07)
By Jelena Tesic, John R. Smith, Rong Yan
Issue Date:August 2007
pp. 834-843
Typical approaches to the multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computational bottleneck for sizeable datasets with a large label space. In this p...
     
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