40616325
A Color Bar Based Affective Annotation Method for Media Player
Multimedia technology has been developing quickly since the computer was invented. Nowadays, more and more people use media players to watch movies and TV shows on their computer. But it seems that we are too busy sometimes to spare nearly two hours watching a movie from beginning to end. We’d like to find and watch the most exciting episodes that we are interested in as soon as possible. The media players we use often only provide a slider bar for locating, which is rather low in efficiency. Respecting this, an affective annotation method for video clips is proposed in this paper and the method is implemented in an affectively annotated media player. In addition, two experiments were set up to evaluate the proposed method. Experiment results indicate that affective annotation facilitates the subjects in quick locating target events and helps them understand the scenarios better.
1426843
Priority based Overlay Multicast with Filtering Mechanism for Distributed Interactive Applications
The "priority-based directed minimum spanning tree" (PST) is designed for distributed interactive applications (DIAs) in which the data are delivered to the receiver node according to their priority; however PST cannot balance the bandwidth usage among the nodes and the system will be unstable when its scale increases. This paper proposes a novel overlay multicast protocol named priority based overlay multicast (POM), which uses the priority, delay and available bandwidth to construct the multicast tree, besides a filtering mechanism is proposed to rebuild the tree when the available bandwidth shortage appears. The effectiveness of our protocol is demonstrated in the simulation results, showing that POM uses the available bandwidth efficiently, besides it keeps the system stable when its scale increases
11658624
Statistical Feature Selection for Mandarin Speech Emotion Recognition
Performance of speech emotion recognition largely depends on the acoustic features used in a classifier. This paper studies the statistical feature selection problem in Mandarin speech emotion recognition. This study was based on a speaker dependent emotional mandarin database. Pitch, energy, duration, formant related features and some velocity information were selected as base features. Some statistics of them consisted of original feature set and full stepwise discriminant analysis (SDA) was employed to select extracted features. The results of feature selection were evaluated through a LDA based classifier. Experiment results indicate that pitch, log energy, speed and 1st formant are the most important factors and the accuracy rate increases from 63.1 % to 76.5 % after feature selection. Meanwhile, the features selected by SDA are better than the results of other feature selection methods in a LDA based classifier and SVM. The best performance is achieved when the feature number is in the range of 9 to 12.
21308144
EmoEars: An Emotion Recognition System for Mandarin Speech
In this paper, an emotion recognition system for mandarin speech is presented. Five basic human emotions including angry, fear, happy, neutral and sad are investigated. The recognizer is based on neural network with OCON and ACON architecture. Some novel feature selection methods are also added as optional tool to enhance the efficiency and classification accuracy. The system can train speaker dependent emotion speech model through online emotional utterance recording. Experiment results show that emotion can be recognized through neural network model, the best mean accuracy is 86.7%. In addition, the feature selection module is effective to reduce the compute load and increase the generalization ability of the recognizer.
206977606
Priority Based Overlay Multicast for Distributed Interactive Applications
Distributed Interactive Applications (DIAs) is different with other network-based applications, since the data should be delivered to the receiver node according to its priority. Among the existing overlay multicast protocols the "priority-based directed minimum spanning tree" (PST) is designed for DIAs. But in PST the available bandwidth (avail-bw) is used inefficiently and the system becomes unstable when its scale increases. This paper proposed a novel overlay multicast protocol named Priority Based Overlay Multicast (POM), which uses the entities’ priority, links’ delay and node’s avail-bw to build multicast tree. By using POM the nodes with high priority receive the data in short delay, while the nodes with low priority tolerate a long delay in order to balance the available bandwidth usage among the nodes. The simulation results show that POM uses the avail-bw efficiently and keeps the system stable when its scale increases. Keywords: DIAs; Priority; Available bandwidth.
41643555
A Fuzzy Dead Reckoning Algorithm for Distributed Interactive Applications
A fuzzy Dead Reckoning (DR) algorithm for distributed interactive applications is proposed in this paper. Since fixed threshold cannot adequately handle the dynamic relationships between moving entities, some multi-level threshold DR algorithms were proposed in the past few years. In these algorithms the level of threshold is adaptively adjusted based on the distance between entities. The proposed fuzzy DR algorithm is based on multi-level threshold DR algorithm and takes all properties of entity (e.g. position, size and view angle etc.) into consideration when adjusting the level of threshold. This algorithm employs fuzzy correlation degree to measure the relationships between entities and determine the level of threshold for DR algorithm. Fuzzy consistent relation is used to distribute weight for each property. Simulation results indicate that fuzzy DR algorithm can achieve a considerable reduction in the number of state update messages while maintaining adequate accuracy in extrapolation.
7148263
User-Friendly Methodology for Automatic Exploration of Compiler Options: A Case Study on the Intel XScale Microarchitecture
A duct adapter for use in conjunction with an air conditioning unit is disclosed. This adapter attaches to a discharge opening of an air conditioning unit and acts to divide the stream of conditioned air into multiple streams, one being discharged into the enclosure containing the air conditioning unit and a separate stream being discharged into a duct for delivery at a distant location. Means for attaching the adapter to the air conditioning unit and a damper assembly therein are additionally disclosed.
6401713
Stability Analysis of Regional and National Voting Schemes by a Continuous Model
The previous discrete-model-based stability analysis of regional and national voting has been extended to a continuous-model-based analysis in the simultaneous presence of white and concentrated components of noise, reconfirming the previous conclusion that regional voting with smaller sized regions always demonstrates an improved stability over those with larger sized regions, including the national voting in its limiting case in particular. The conclusion remains valid as long as the weak distribution assumption is valid.
6427165
Self-adaptation in a middleware for processing data streams
Many stream-based applications share a common set of characteristics, which makes grid-based and adaptive processing desirable or even a necessity. We view the problem of flexible and adaptive processing of distributed data streams as a grid computing problem. We have been developing a middleware for processing of distributed data streams. Our system is referred to as GATES (grid-based adaptive execution on streams). It is designed to use the existing grid standards and tools to the extent possible. Because of the real-time requirements, there is a need for adapting the processing in such a distributed environment, and achieving the best accuracy of the results within the real-time constraint. For this purpose, our system flexibly achieves the best accuracy that is possible while maintaining the real-time constraint on the analysis. We have developed and implemented a self-adaptation algorithm. This paper focuses on describing and evaluating this algorithm.
32640232
AP-Based Borda Voting Method for Feature Extraction in TRECVID-2004
We present a novel fusion method — AP-based Borda voting method (APBB)— for rankings. Due to its adaptive weighting scheme, APBB outperforms many traditional methods. Comparative experiments on TRECVID 2004 data were carried out and showed the robustness and effectiveness of this method.
12012725
An intelligent control system with a multi-objective self-exploration process
Abstract This paper proposes a novel approach based on artificial intelligence technologies (multi-objective Self-Exploration process based Intelligent Control System—mSEICS) for intelligent control systems. Not only can this system adapt to various environments, but it can also continually improve its performance. The mSEICS consists of four basic functions, controller, receptor, m-adaptor and advancer. A five-layer fuzzy neural network is applied to implement the controller. The receptor is used to evaluate the performance of system. The m-adaptor (multi-objective based adaptor) that comprises two elements, action explorer and rule generator, can generate a variety of new action sets in order to adapt to various environments. The Pareto optimality based multi-objective genetic algorithm is proposed to implement the action explorer to discover multiple action sets, and the rule generator is employed to transform the action set to fuzzy rules. In addition, the advancer consisting of action discoverer and rule generator is constructed to produce the novel action set to enhance the system efficiency. The parallel-simulated annealing approach is presented to realize the action discoverer. An application of the robotic path planning is applied to demonstrate the proposed model. The simulation results show that the mobile robot can reach the target successfully in various environments, and the proposed model is more efficient than the similar model.