Video Representation and Retrieval Using Spatio-temporal Descriptors and Region Relations
نویسندگان
چکیده
منابع مشابه
Recognition of Visual Events using Spatio-Temporal Information of the Video Signal
Recognition of visual events as a video analysis task has become popular in machine learning community. While the traditional approaches for detection of video events have been used for a long time, the recently evolved deep learning based methods have revolutionized this area. They have enabled event recognition systems to achieve detection rates which were not reachable by traditional approac...
متن کاملExtended Spatio-temporal Relations between Moving and Non-moving Objects
During the last decade, the emerging technology for video retrieval is mainly based on the content. However, semantic-based video retrieval has become more and more necessary for the humans especially the naive users who can only use the human language during retrieval. In this paper, we focus on semantic representation using topological and directional relations between non-moving and moving o...
متن کاملNeTra-V: Toward an Object-Based Video Representation
We present here a prototype video analysis and retrieval system, called NeTra-V, that is being developed to build an object-based video representation for functionalities such as search and retrieval of video objects. A region-based content description scheme using low-level visual descriptors is proposed. In order to obtain regions for local feature extraction, a new spatio-temporal segmentati...
متن کاملAction recognition using global spatio-temporal features derived from sparse representations
Recognizing actions is one of the important challenges in computer vision with respect to video data, with applications to surveillance, diagnostics of mental disorders, and video retrieval. Compared to other data modalities such as documents and images, processing video data demands orders of magnitude higher computational and storage resources. One way to alleviate this difficulty is to focus...
متن کاملA New Wavelet Based Spatio-temporal Method for Magnification of Subtle Motions in Video
Video magnification is a computational procedure to reveal subtle variations during video frames that are invisible to the naked eye. A new spatio-temporal method which makes use of connectivity based mapping of the wavelet sub-bands is introduced here for exaggerating of small motions during video frames. In this method, firstly the wavelet transformed frames are mapped to connectivity space a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006