Please wait, while we are loading the content...
Please wait, while we are loading the content...
Content Provider | ACM Digital Library |
---|---|
Author | Bhattacharya, Subhabrata |
Abstract | Recognition of complex events in unconstrained Internet videos is a challenging research problem. In this symposium proposal, we present a systematic decomposition of complex events into hierarchical components and make an in-depth analysis of how existing research are being used to cater to various levels of this hierarchy. We also identify three key stages where we make novel contributions which are necessary to not only improve the overall recognition performance, but also develop richer understanding of these events. At the lowest level, our contributions include (a) compact covariance descriptors of appearance and motion features used in sparse coding framework to recognize realistic actions and gestures, and (b) a Lie-algebra based representation of dominant camera motion present in video shots which can be used as a complementary feature for video analysis. In the next level, we propose an (c) efficient maximum likelihood estimate based representation from low-level features computed from videos which demonstrates state of the art performance in large scale visual concept detection, and finally, we propose to (d) model temporal interactions between concepts detected in video shots through two new discriminative feature spaces derived from Linear dynamical systems which eventually boosts event recognition performance. In all cases, we conduct thorough experiments to demonstrate promising performance gains over some of the prominent approaches. |
Starting Page | 1035 |
Ending Page | 1038 |
Page Count | 4 |
File Format | |
ISBN | 9781450324045 |
DOI | 10.1145/2502081.2502210 |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 2013-10-21 |
Publisher Place | New York |
Access Restriction | Subscribed |
Subject Keyword | Riemannian manifolds Shot classification Multimedia event detection Linear dynamical systems Block hankel matrices Maximum likelihood estimates Video descriptors Complex event recognition Lie algebra Covariance matrices Cinematographic techniques |
Content Type | Text |
Resource Type | Article |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
Learn more about this project from here.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
Sl. | Authority | Responsibilities | Communication Details |
---|---|---|---|
1 | Ministry of Education (GoI), Department of Higher Education |
Sanctioning Authority | https://www.education.gov.in/ict-initiatives |
2 | Indian Institute of Technology Kharagpur | Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project | https://www.iitkgp.ac.in |
3 | National Digital Library of India Office, Indian Institute of Technology Kharagpur | The administrative and infrastructural headquarters of the project | Dr. B. Sutradhar bsutra@ndl.gov.in |
4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
5 | Website/Portal (Helpdesk) | Queries regarding NDLI and its services | support@ndl.gov.in |
6 | Contents and Copyright Issues | Queries related to content curation and copyright issues | content@ndl.gov.in |
7 | National Digital Library of India Club (NDLI Club) | Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach | clubsupport@ndl.gov.in |
8 | Digital Preservation Centre (DPC) | Assistance with digitizing and archiving copyright-free printed books | dpc@ndl.gov.in |
9 | IDR Setup or Support | Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops | idr@ndl.gov.in |
Loading...
|