Model-Based Video Classification toward Hierarchical Representation, Indexing and Access
Multimedia Tools and Applications
Signal Processing - Signal processing with heavy-tailed models
Ordinal-measure based shape correspondence
EURASIP Journal on Applied Signal Processing - Image analysis for multimedia interactive services - part I
Video segmentation using fast marching and region growing algorithms
EURASIP Journal on Applied Signal Processing - Image analysis for multimedia interactive services - part I
Objective evaluation criteria for 2D-shape estimation results of moving objects
EURASIP Journal on Applied Signal Processing - Image analysis for multimedia interactive services - part I
Segmentation and content-based watermarking for color image and image region indexing and retrieval
EURASIP Journal on Applied Signal Processing - Image analysis for multimedia interactive services - part I
Seeded Semantic Object Generation toward Content-Based Video Indexing
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Accessing Video Contents through Key Objects over IP
Multimedia Tools and Applications
Semantic video classification and feature subset selection under context and concept uncertainty
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Seeded region growing: an extensive and comparative study
Pattern Recognition Letters
Ordinal-measure based shape correspondence
EURASIP Journal on Applied Signal Processing
Video segmentation using fast marching and region growing algorithms
EURASIP Journal on Applied Signal Processing
Objective evaluation criteria for 2D-shape estimation results of moving objects
EURASIP Journal on Applied Signal Processing
Segmentation and content-based watermarking for color image and image region indexing and retrieval
EURASIP Journal on Applied Signal Processing
A method for single-stimulus quality assessment of segmented video
EURASIP Journal on Applied Signal Processing
Automatic video object segmentation using volume growing and hierarchical clustering
EURASIP Journal on Applied Signal Processing
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Towards Fully Automatic Image Segmentation Evaluation
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
GAT: a Graphical Annotation Tool for semantic regions
Multimedia Tools and Applications
Stopping region-based image segmentation at meaningful partitions
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
Region merging techniques using information theory statistical measures
IEEE Transactions on Image Processing
Multi-modal time-of-flight based fire detection
Multimedia Tools and Applications
Hi-index | 0.00 |
Flexibility and efficiency of coding, content extraction, and content-based search are key research topics in the field of interactive multimedia. Ongoing ISO MPEG-4 and MPEG-7 activities are targeting standardization to facilitate such services. European COST Telecommunications activities provide a framework for research collaboration. At present a significant effort of the COST 211ter group activities is dedicated toward image and video sequence analysis and segmentation-an important technological aspect for the success of emerging object-based MPEG-4 and MPEG-7 multimedia applications. The current work of COST 211 is centered around the test model, called the analysis model (AM). The essential feature of the AM is its ability to fuse information from different sources to achieve a high-quality object segmentation. The current information sources are the intermediate results from frame-based (still) color segmentation, motion vector based segmentation, and change-detection-based segmentation. Motion vectors, which form the basis for the motion vector based intermediate segmentation, are estimated from consecutive frames. A recursive shortest spanning tree (RSST) algorithm is used to obtain intermediate color and motion vector based segmentation results. A rule-based region processor fuses the intermediate results; a postprocessor further refines the final segmentation output. The results of the current AM are satisfactory