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H.264 coding technology is the most commonly-used video compression technology. As H.264 videos in transmission, video packet losses inevitably occur. The error concealment method can solve the problem. For the lost block, we use the motion vector of neighboring available block to estimate the lost motion vectors, and the estimates propagate to predict all other missing motion vectors. By comparison...
Real-time performance can be greatly improved, if the early recognition is implemented. In this paper, a dynamic hand gesture early recognition system is proposed. The system can recognize the gesture before it is completed. Our method is based on the Hidden Semi-Markov Models. Three-dimensional information of the gesture trajectory collected by leapmotion is the main data we used. Experiments on...
This paper presents a novel approach for estimating unknown illuminant, i.e., color temperature, of a digitally captured image, depending only on the contents of the image. The novelty of the approach lies in establishment of a fuzzy neural network with its parameters optimized based on appropriately designed training sets using particle swarm algorithm. The estimated temperature may be further utilized...
We propose a novel framework for fast and robust video anomaly detection and localization in complicated crowd scenes. Images of each video are split into cells for extracting local motion features represented by optical flow. In the train videos, most background cells are subtracted by ViBe model. Feature vectors are extracted from each cell by integrating the value of optical flow in 8 different...
We analyze the impacts of vindictive bidding behaviors in the non-decreasing sponsored search auction. The bidding behaviors are classified into malicious, selective, conservative, and rational actions based on the vindictiveness degree. Given different vindictive bidding behaviors, we evaluate variance of the revenue of the search engine provider (SEP) and advertiser¡¦s profit. According to the experiment,...
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