Foreground Segmentation Using Motion Vectors in Sports Video
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
MPEG-7 MDS Content Description Tools and Applications
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
An Accumulation Algorithm for Video Shot Boundary Detection
Multimedia Tools and Applications
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
EURASIP Journal on Applied Signal Processing
Enabling MPEG-7 structural and semantic descriptions in retrieval applications
Journal of the American Society for Information Science and Technology
Multiple moving object detection for fast video content description in compressed domain
EURASIP Journal on Advances in Signal Processing
Semantic representation of multimedia content: Knowledge representation and semantic indexing
Multimedia Tools and Applications
Audio data model for multi-criteria query formulation and retrieval
Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
Scalable object-based video retrieval in HD video databases
Image Communication
Video-object segmentation and 3D-trajectory estimation for monocular video sequences
Image and Vision Computing
Extracting moving / static objects of interest in video
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Semantic feature extraction based on video abstraction and temporal modeling
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
Frontiers of Computer Science: Selected Publications from Chinese Universities
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Object-based video data representations enable unprecedented functionalities of content access and manipulation. We present an integrated approach using region-based analysis for semantic video object segmentation and retrieval. We first present an active system that combines low-level region segmentation with user inputs for defining and tracking semantic video objects. The proposed technique is novel in using an integrated feature fusion framework for tracking and segmentation at both region and object levels. Experimental results and extensive performance evaluation show excellent results compared to existing systems. Building upon the segmentation framework, we then present a unique region-based query system for semantic video object. The model facilitates powerful object search, such as spatio-temporal similarity searching at multiple levels