The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Motif is a promising descriptor to depict the content of image. In this study, two motif-relevant matrices, i.e. a motif average matrix (MAM) and a motif excessive matrix (MEM), are proposed firstly to describe the color and texture features of an image. Subsequently, in the light of the inference of MAM and MEM, a motif matrix (MM) is further proposed to resolve the issues of rotated image retrieval...
Microblog as one of the most popular social network sites, has become an important platform for people to share, exchange, obtain and spread information in their life. This paper infers the Microblog user's age range from the perspective of feature selection. We analyze the user microblog text from six kinds of features. This paper has two distinctive characteristics: (i) a new feature selection method...
Essays in different text genres have different ideas and writing method. Prediction the text genres firstly will help get a better accuracy when predicting the success of literary or finding the beautiful words and sentences in the essay. And it will help set a different standard for different text genres when scoring the writing by computer. Words and structure can be effective in discriminating...
Automatic detection of mesoscale oceanic eddies is in great demand to monitor their dynamics which play a significant role in ocean current circulation and marine climate change. Traditional methods of eddies detection using remotely sensed data are usually based on physical parameters, geometrics, handcrafted features or expert knowledge, they face a great challenge in accuracy and efficiency due...
With the increasing number of network comments, mining product reviews is an emerging area of research which fundamental work is focused on feature extraction. Previous studies mainly focus on explicit features extraction while often ignore implicit features which haven't been stated clearly but containing necessary information for analyzing comments. Actually in our study, we find a lot of implicit...
High voltage transmission lines have a clear and necessary straight-line feature, which can be obtained by using the method proposed in this paper to process captured images. Since high voltage transmission lines operate in a complex environment, it not only increases the noise in captured pictures, but also makes it harder to extract the transmission lines due to background interference. In order...
Sports video summarization and classification is becoming a very important topic due to the pressing need to automatically classify sports scenes to enable better sport analysis, refereeing, training and advertisement. The vast majority of the techniques applied to sports video classifications involved black box techniques such as support vector machines (SVMs) and neural networks, which do not provide...
The recent years have witnessed significant progress in the automation of sports video summarization. The vast majority of the techniques applied to sports video classifications involved black box techniques such as support vector machines (SVMs) and neural networks, which do not provide models that could be easily analysed and understood by human users. Video scenes can be regarded as continuous...
A novel hybrid human action detection method based on three descriptors is proposed. Firstly, the minimal 3D space region of human action region is detected by combining frame difference method and VIBE algorithm, and the threedimensional histogram of oriented gradient (HOG3D) is extracted. At the same time, the characteristics of three dimensional global descriptors based on frequency domain filtering...
Recently, the research on Brain-Computer Interface (BCI) technology has achieved great progress, and the BCI system based on Motor Imagery (MI) has been intensively studied in many labs. The essential part of signal processing in BCI is how to extract the MI features in electroencephalographic (EEG) and recognize the MI task accurately. One challenge lies in that EEG signals are non-stationary, whose...
In BCI research community, support vector machine (SVM) is an effective method for motor imagery (MI)-based electroencephalographic (EEG) classification. However, the computation of decision function during SVM classification stage for a new EEG trial is time-consuming due to the large number of support vectors (SV). This paper proposes a new method to reduce the number of support vectors so that...
With the rapid urbanization, the land use of Wuhan changes frequently, and the method of remote sensing is used widely on macroscale and mesoscale land use change survey. The aim of the study was to classify the land use of Wuhan to obtain the area of every kind of land types, and to predict land use change trend in the next 15 years. In this process, the method of layered extraction of land types...
As is known to all, there are many kinds of wood. If we distinguish the wood's characteristics by our eyesight, we can't distinguish the category and property of the wood correctly, and this way will cost enormous workload. In this paper, we propose the keyblock distribution based wood image retrieval algorithm, in order to make the wood image retrieval algorithm more precise and objective. Keyblocks...
Intention-oriented computational visual attention (ICVA) model attempts to imitate human vision by computational intelligence. This paper contributes to enabling the ICVA model with learning ability so as to acquire or change intention according to assigned image samples. This innovative design is called the self-learning ICVA model which contains a neuro-fuzzy network to learn intention from image...
3D face recognition is one of the most popular researches at present. However, 3D face model stored in databases can be tampered or overwritten with attacker's own, which results in that legitimate user failed in authentication or lost their identity. In this paper, we provide a security enhancement scheme for biometric system and implement it in 3D face recognition. In our scheme, a digital watermark...
This paper proposes a 3D model authenticate algorithm. Tamper detection, tamper localization and recovery can be achieved. The tamper detection is achieved by fragile watermarking under a precision limit. The tamper localization is achieved by partitioning the model into several authentication units (AU). The robust features are chosen since they are invariant after watermark embedding. Data is embedded...
A new algorithm of Web text clustering mining is presented, which is based on the Discovery Feature Sub-space Model (DFSSM). This algorithm includes the training stage of SOM and the clustering stage, which characterizes self-stability and powerful antinoise ability. It can distinguishes the most meaningful features from the Concept Space without the evaluation function. we have applied the algorithm...
Human attention behavior relies not only on the natural contrastive information but also much top-down information in the mind. The intention represents preference or repugnance for specific image property undoubtedly affects the visual attention. By introducing the intentional features and the fuzzy inference system into the computational model, the Intention-oriented Computational Visual Attention...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.