Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Object composition and playback models for handling multimedia data
MULTIMEDIA '93 Proceedings of the first ACM international conference on Multimedia
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
A feature-based algorithm for detecting and classifying scene breaks
Proceedings of the third ACM international conference on Multimedia
Automating the creation of a digital video library
Proceedings of the third ACM international conference on Multimedia
A shot classification method of selecting effective key-frames for video browsing
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
CONIVAS: content-based image and video access system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Medium knowledge-based macro-segmentation of video into sequences
Intelligent multimedia information retrieval
VideoQ: an automated content based video search system using visual cues
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Video Database Systems: Issues, Products and Applications
Video Database Systems: Issues, Products and Applications
Cinematic Primitives for Multimedia
IEEE Computer Graphics and Applications
WVTDB-A Semantic Content-Based Video Database System on the World Wide Web
IEEE Transactions on Knowledge and Data Engineering
Modelling and Querying Video Data
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Constructing table-of-content for videos
Multimedia Systems - Special section on video libraries
2PSM: an efficient framework for searching video information in a limited-bandwidth environment
Multimedia Systems - Special section on video libraries
The MoCA Workbench: Support for Creativity in Movie Content Analysi
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
A visual search system for video and image databases
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Exploring Video Structure Beyond The Shots
ICMCS '98 Proceedings of the IEEE International Conference on Multimedia Computing and Systems
Extracting story units from long programs for video browsing and navigation
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
Detecting video shot boundaries up to 16 times faster (poster session)
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Topological mapping: a dimensionality reduction method for efficient video search
Proceedings of the 2002 ACM symposium on Applied computing
ShotWeave: A Shot Clustering Technique for Story Browsing for Large Video Databases
EDBT '02 Proceedings of the Worshops XMLDM, MDDE, and YRWS on XML-Based Data Management and Multimedia Engineering-Revised Papers
Semantics Reasoning Based Video Database Systems
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
Hierarchical video indexing based on changes of camera and object motions
Proceedings of the 2003 ACM symposium on Applied computing
Video summaries and cross-referencing through mosaic-based representation
Computer Vision and Image Understanding
A motion based scene tree for browsing and retrieval of compressed videos
Proceedings of the 2nd ACM international workshop on Multimedia databases
Scenario based dynamic video abstractions using graph matching
Proceedings of the 13th annual ACM international conference on Multimedia
A real-time shot cut detector: Hardware implementation
Computer Standards & Interfaces
A motion-based scene tree for browsing and retrieval of compressed videos
Information Systems
True suffix tree approach for discovering non-trivial repeating patterns in a music object
Multimedia Tools and Applications
A scalable and extensible segment-event-object-based sports video retrieval system
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Scalable multi-feature index structure for music databases
Information Sciences: an International Journal
Large scale incremental web video categorization
WSMC '09 Proceedings of the 1st workshop on Web-scale multimedia corpus
A motion-based scene tree for compressed video content management
Image and Vision Computing
Real time video data mining for surveillance video streams
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
VideoGraph: a graphical object-based model for representing and querying video data
ER'00 Proceedings of the 19th international conference on Conceptual modeling
Adaptive clustering and interactive visualizations to support the selection of video clips
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Galois' lattice for video navigation in a DBMS
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Real-Time Query Processing on Live Videos in Networks of Distributed Cameras
International Journal of Interdisciplinary Telecommunications and Networking
Video shot representation based on histograms
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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We present in this paper a fully automatic content-based approach to organizing and indexing video data. Our methodology involves three steps:Step 1: We segment each video into shots using a Camera-Tracking technique. This process also extracts the feature vector for each shot, which consists of two statistical variances VarBA and VarOA. These values capture how much things are changing in the background and foreground areas of the video shot.Step 2: For each video, We apply a fully automatic method to build a browsing hierarchy using the shots identified in Step 1.Step 3: Using the VarBA and VarOA values obtained in Step 1, we build an index table to support a variance-based video similarity model. That is, video scenes/shots are retrieved based on given values of VarBA and VarOA.The above three inter-related techniques offer an integrated framework for modeling, browsing, and searching large video databases. Our experimental results indicate that they have many advantages over existing methods.