Jincheng Huang

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This paper describes a technique for classifying TV broadcast video using Hidden Markov Model (HMM) [1]. Here we consider the problem of discriminating five types of TV programs, namely commercials, basketball games, football games, news reports, and weather forecasts. Eight frame-based audio features are used to characterize the low-level audio properties,(More)
Along with the advance in multimedia and internet technology, a huge amount of data, including digital video and audio, are generated daily. Tools for e cient indexing and retrieval are indispensable. With multi-modal information present in the data, e ective integration is necessary and is still a challenging problem. In this paper, we present four di(More)
A video sequence usually consists of separate scenes, and each scene includes many shots. For video understanding purposes, it is most important to detect scene breaks. To analyze the content of each scene, detection of shot breaks is also required. Usually, a scene break is associated with a simultaneous change of image, motion, and audio characteristics,(More)
Video classi cation and segmentation are fundamental steps for e cient accessing, retrieving and browsing large amount of video data. We have developed a scene classi cation scheme using a Hidden MarkovModel (HMM)based classi er. By utilizing the temporal behaviors of di erent scene classes, HMM classi er can e ectively classify video segments into one of(More)
Analysis and classification of the scene content of a video sequence are very important for content-based indexing and retrieval of multimedia databases. In this paper, we report our research on using the associated audio information for video scene classification. We describe several audio features that have been found effective in distinguishing audio(More)
A feature correction two-stage vector quantization (FC2VQ) algorithm was previously developed to compress gray-scale photo identification (ID) pictures. This algorithm is extended to color images in this work. Three options are compared, which apply the FC2VQ algorithm in RGB, YCbCr, and Karhunen-Loeve transform (KLT) color spaces, respectively. The(More)
An emerging trend in the banking industry is to digitize checks for storage and transmission. An immediate requirement for e cient storage and transmission is check image compression. General purpose compression algorithms such as JPEG and wavelet-based methods produce annoying ringing or blocking artifacts at high compression ratios. In this paper, a(More)
In Mobile Ad Hoc Network (MANET), due to the mobility of the nodes it is difficult to find the route which can maintain the whole process of data transmission. Therefore, it is very critical to balance, maintain and repair the route within the mobility of nodes and the limited battery energy. Currently there are many protocols from different aspects to(More)