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Detection of moving text of different orientations in video is challenging because of low resolution and complex background of video. In this paper, we propose a method based on motion vectors to identify the moving blocks which have linear and constant velocity. For each block, we compute moments and use k-means clustering algorithm to extract text candidate. We introduce a new criterion based on...
This paper proposes a key motion spotting method which is designed to locate the motion of interest (or key motion) from a database of motion sequences. As a key motion could be just a subsequence of the stored motion sequence, the proposed method differs much from the general methods of content-based retrieval of motion sequences, which searches from the database the individual sequences similar...
A spatio-temporal descriptor for representation and recognition of time-varying textures is proposed [binarized statistical image features on three orthogonal planes (BSIF-TOP)] in this paper. The descriptor, similar in spirit to the well known local binary patterns on three orthogonal planes approach, estimates histograms of binary coded image sequences on three orthogonal planes corresponding to...
A real world scene may contain several objects with different spatial and temporal characteristics. This paper proposes a novel method for the classification of natural scenes by processing both spatial and temporal information from the video. For extracting the spatial characteristics, we build spatial pyramids using the spatial pyramid matching (SPM) algorithm on SIFT descriptors while for the motion...
Semantic concept detection in large scale video collections is mostly achieved through a static analysis of selected keyframes. A popular choice for representing the visual content of an image is based on the pooling of local descriptors such as Dense SIFT. However, simple motion features such as optic flow can be extracted relatively easy from such keyframes. In this paper we propose an efficient...
Video surveillance plays a prominent role in law enforcement, personal safety, traffic control, resource planning and security of assets, etc. The need for such systems is increasing every day, with a number of surveillance cameras deployed in public places to analyze moving objects. Automatic video surveillance system can enforce the security in the monitored area without requiring the continuous...
The indexing and retrieval of dynamic textures remains one of the most challenging tasks in both computer vision and computer graphics. This paper first introduces the concept of intrinsic properties of dynamic textures, including Static Texture Features (STF) and Dynamic Texture Features (DTF), and then proposes an efficient method that utilizes these intrinsic properties for the indexing and retrieval...
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