NDLI: Classification of Cinematographic Shots Using Lie Algebra and its Application to Complex Event Recognition

Content Provider	IEEE Xplore Digital Library
Author	Bhattacharya, S. Mehran, R. Sukthankar, R. Shah, M.
Copyright Year	1999
Abstract	In this paper, we propose a discriminative representation of a video shot based on its camera motion and demonstrate how the representation can be used for high level multimedia tasks like complex event recognition. In our technique, we assume that a homography exists between a pair of subsequent frames in a given shot. Using purely image-based methods, we compute homography parameters that serve as coarse indicators of the ambient camera motion. Next, using Lie algebra, we map the homography matrices to an intermediate vector space that preserves the intrinsic geometric structure of the transformation. The mappings are stacked temporally to generate vector time-series per shot. To extract meaningful features from time-series, we propose an efficient linear dynamical system based technique. The extracted temporal features are further used to train linear SVMs as classifiers for a particular shot class. In addition to demonstrating the efficacy of our method on a novel dataset, we extend its applicability to recognize complex events in large scale videos under unconstrained scenarios. Our empirical evaluations on eight cinematographic shot classes show that our technique performs close to approaches that involve extraction of 3-D trajectories using computationally prohibitive structure from motion techniques.
Sponsorship	IEEE Signal Processing Society IEEE Circuits and Systems Society IEEE Communications Society IEEE Computer Society
Starting Page	686
Ending Page	696
Page Count	11
File Size	2346171
File Format	PDF
ISSN	15209210
Volume Number	16
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Feature extraction Vectors Computer vision Cranes Support vector machine classification shot classification Cinematographic shots homography lie algebra multimedia event recognition
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Science Applications Media Technology

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

Homography-based traffic sign localisation and pose estimation from image sequence

Use of gradient and normal vectors for face recognition

Interactive Vector Field Feature Identification

Memory-Based Attention Control for Activity Recognition at a Subway Station

Dimensionality reduction-based feature extraction and classification on fleece fabric images

CAMHID: Camera Motion Histogram Descriptor and Its Application to Cinematographic Shot Classification

Boosted subunits: a framework for recognising sign language from videos

Deep Fusion of Multiple Semantic Cues for Complex Event Recognition

Support vector machines for texture classification

Classification of Cinematographic Shots Using Lie Algebra and its Application to Complex Event Recognition

Similar Documents

Homography-based traffic sign localisation and pose estimation from image sequence

Use of gradient and normal vectors for face recognition

Interactive Vector Field Feature Identification

Memory-Based Attention Control for Activity Recognition at a Subway Station

Dimensionality reduction-based feature extraction and classification on fleece fabric images

CAMHID: Camera Motion Histogram Descriptor and Its Application to Cinematographic Shot Classification

Boosted subunits: a framework for recognising sign language from videos

Deep Fusion of Multiple Semantic Cues for Complex Event Recognition

Support vector machines for texture classification

Classification of Cinematographic Shots Using Lie Algebra and its Application to Complex Event Recognition