Finding Trajectories of Feature Points in a Monocular Image Sequence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Curves and surfaces for computer aided geometric design: a practical guide
Curves and surfaces for computer aided geometric design: a practical guide
Digital image processing and computer vision: an introduction to theory and implementations
Digital image processing and computer vision: an introduction to theory and implementations
The perception of articulated motion: recognizing moving light displays
The perception of articulated motion: recognizing moving light displays
Image sequence description using spatiotemporal flow curves: toward motion-based recognition
Image sequence description using spatiotemporal flow curves: toward motion-based recognition
Performance of a software MPEG video decoder
MULTIMEDIA '93 Proceedings of the first ACM international conference on Multimedia
Towards model-based recognition of human movements in image sequences
CVGIP: Image Understanding
Vision processor system for moving-object analysis
Machine Vision and Applications
Semantic Queries with Pictures: The VIMSYS Model
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
Robust Multiple Car Tracking with Occlusion Reasoning
Robust Multiple Car Tracking with Occlusion Reasoning
Motion recovery for video content classification
ACM Transactions on Information Systems (TOIS) - Special issue on video information retrieval
Automatic recognition of film genres
Proceedings of the third ACM international conference on Multimedia
The personal electronic program guide—towards the pre-selection of individual TV programs
CIKM '96 Proceedings of the fifth international conference on Information and knowledge management
VideoQ: an automated content based video search system using visual cues
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Retrieving video data via motion tracks of content symbols
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Database research at Arizona State University
ACM SIGMOD Record
A Language for Content-Based Video Retrieval
Multimedia Tools and Applications
An Approach to a Content-Based Retrieval ofMultimedia Data
Multimedia Tools and Applications
A Spatio-temporal Representation Scheme for Modelin Moving Objects in Video Data
ASIAN '00 Proceedings of the 6th Asian Computing Science Conference on Advances in Computing Science
A multi-level abstraction and modeling in video databases
Multimedia Systems - Special section on video libraries
State-of-the-art on spatio-temporal information-based video retrieval
Pattern Recognition
Similarity retrieval of videos by using 3D C-string knowledge representation
Journal of Visual Communication and Image Representation
A query language for similarity-based retrieval of multimedia data
ADBIS'97 Proceedings of the First East-European conference on Advances in Databases and Information systems
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The most prominent difference between still images and moving pictures stems from movements and variations. Thus to go from the realm of still image repositories to video databases, we must be able to deal with motion. Particularly, we need the ability to classify objects appearing in a video sequence based on the movements of each object, as well as their other characteristics and features such as shape or color.By describing motion derived from motion analysis, we introduce a dual hierarchy consisting of spatial and temporal parts for video sequence representation. This gives us the flexibility to examine arbitrary frames at various levels of abstraction, and to retrieve the associated temporal information (say, object trajectories) in addition to the spatial representation. Our algorithm for motion detection uses the motion compensation component of the MPEG video encoding scheme. The algorithm then computes trajectories for objects of interest. The specification of a language for retrieval of video based on the spatial as well as motion characteristics is presented.