Motion Pattern-Based Video Classification and Retrieval
نویسندگان
چکیده
منابع مشابه
Motion Pattern-Based Video Classification and Retrieval
Today’s content-based video retrieval technologies are still far from human’s requirements. A fundamental reason is the lack of content representation that is able to bridge the gap between visual features and semantic conception in video. In this paper, we propose a motion pattern descriptor, motion texture that characterizes motion in a generic way. With this representation, we design a seman...
متن کاملStatistical Modeling for Motion-based Video Classification and Retrieval
We have developed an original approach for content-based video indexing and retrieval. By introducing a causal Gibbsian modeling of the spatio-temporal distribution of appropriate local motion-related measurements, we have designed a general and efficient statistical framework for non parametric motion modeling, motion recognition and classification, and motion segmentation. It is exploited for...
متن کاملMulti-object Motion Pattern Classification for Visual Surveillance and Sports Video Retrieval
This paper presents a method to classify scenes based on motion information. While they use object trajectories or optical flow field as motion information in previous work, we use the instantaneous motions of multiple objects in each image. In order to deal with variable number of objects in a scene, we use moment statistics as features. Our approach is based on clustering, a form of unsupervi...
متن کاملMotion trajectory based video indexing and retrieval
This paper presents a technique to efficiently index and retrieve video clips in terms of motion-trajectory-based similarity. We describe the motion trajectory in three representations: the horizontal and vertical movements of the trajectory, and the motion trail that indicates shape of the trajectory. Each representation is approximated by a polynomial function. We index the polynomial coeffic...
متن کاملStatistical motion-based video indexing and retrieval
We propose an original approach for the characterization of video dynamic content with a view to supplying new functionalities for motion-based video indexing and retrieval with query by example. We have designed a statistical framework for motion content description without any prior motion segmentation, and for motion-based video classi cation and retrieval. Contrary to other proposed methods...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2003
ISSN: 1687-6180
DOI: 10.1155/s1110865703211021