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The use of micro expressions as a means to understand ones state of mind has received major interest owing to the rapid increase in security threats. The subtle changes that occur on ones face reveals one's hidden intentions. Recognition of these subtle intentions by humans can be challenging as this needs well trained people and is always a time consuming task. Automatic recognition of micro expressions...
Aiming at the demand of mining target from a mass of battlefield video, a mining method based on key frames is discussed. Firstly, the key frames are extracted from battlefield video through content-based video retrieval process. Then, target recognition of key frames is done to mine the target message. The practical calculation shows the mining method is feasible.
Facial Expression Recognition has mostly been done on frontal or near frontal faces. However, most of the faces in real life are non-frontal. This paper deals with in-plane rotation of faces in image sequences and considers the six universal facial expressions. The proposed approach does not need to rotate the image to frontal position. FER by rotating images to frontal is sensitive to determination...
We present an efficient technique based on histogram evolution for summarizing video sequences to make them more amenable to browsing and retrieval. First, a ground-truth database of videos is generated in which the shot breaks are detected by human subjects and numbered in order. Three types of histogram are then used to capture the characteristics of color content containing in the video frames...
This paper addresses the challenge of recognizing dynamic textures based on their observed visual dynamics. Typically, the term dynamic texture is used with reference to image sequences of various natural processes that exhibit stochastic dynamics (e.g., smoke, water and windblown vegetation); although, it applies equally well to images of simpler dynamics when analyzed in terms of aggregate region...
A fast duplicate video detection system based on camera transitional behavior and the suffix array data structure is proposed in this work. The main idea is to match video clips according to their temporal structures, and frames corresponding to unique events are marked as anchor frames. To simplify the detection process, we use the camera transitional behavior to indicate unique events. Specifically,...
This paper evaluates different Restricted Boltzmann Machines models in unsupervised, semi-supervised and supervised frameworks using information from human actions. After feeding these multilayer models with low level features, we infer high-level discriminating features that highly improve the classification performance. This approach eliminates the difficult process of selecting good mid-level feature...
A novel method for face description by local multi-channel Gabor histogram sequence binary pattern (M-LGHSBP) is proposed. The motivation for the M-LGHSBP model is to find more rich and canonical texture measurement and deal with the high dimension problem of the local Gabor feature vector. Firstly, the normalized face image is sampled and blocked. Secondly, the blocked image is filtered by multi-orientation...
A novel approach for 3D motion capture data retrieval based on the Hierarchical Self Organizing Map (HSOM) is proposed. Given a query motion sequence, our goal is to search for all the similar motions from a database. Specifically, a feature vector based on the distribution of the human motion data is first extracted from each motion sequence in the database. Then, Singular Value Decomposition (SVD)...
In this paper, we describe methods for identification of rebroadcasted video sequences. The methods are applicable to real-time monitoring of video streams, or to searching of large collections. The techniques we present are fast and insensitive to video degradation, making them ideal for re-broadcasted video search. Experiments on large quantities of real-world video data demonstrate that our approach...
Due to the rapid development of motion capture technology, more and more human motion databases appear. In order to effectively and efficiently manage human motion database, human motion classification is necessary. In this paper, we propose an ensemble based human motion classification approach (EHMCA). Specifically, EHMCA first extracts the descriptors from human motion sequences. Then, singular...
This paper presents a general method for segmenting a vector valued sequence into an unknown number of subsequences where all data points from a subsequence can be represented with the same affine parametric model. The idea is to cluster the data into the minimum number of such subsequences which, as we show, can be cast as a sparse signal recovery problem by exploiting the temporal correlation between...
Image information is widely used for the content-based retrieval of the image sequence. It is mainly used to segment a video by scene. Through this task, the structural video browsing can be achieved. The process that divides video into shots is called ldquovideo segmentationrdquo. For the video segmentation, detecting cut which is turn point of scene is called ldquocut detectionrdquo. In this paper,...
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