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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...
For power transmission line detection, the multiple lasers of different wavelengths are used to location. Because of the sophisticated effects of environmental light and background elements, it's difficult to extract the laser spot. So, this paper presented a method of hybrid-laser image spot extract based on HSV space SVD for power transmission line detection, which the multiple laser spot in hybrid-laser...
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...
Mining high utility item sets is one of the most important research issues in data mining owing to its ability to consider nonbinary frequency values of items in transactions and different profit values for each item. Although several studies have been carried out, current methods present the mined results in the form of textual lists for users, which degrades the understand ability of the discovered...
This paper proposes a new fingertip touch detecting method with high accuracy for the human-computer interaction based on one projector and a single camera. A finger model composed of a quarter-sphere and half a cylinder is introduced, and the relationship between the finger contour and its shadow based on this model is given out. The way to estimate the distance between finger and the projected surface...
Technique for horror video recognition is important for its application in web content filtering and surveillance, especially for preventing children from being threaten. In this paper, a novel horror video recognition algorithm based on fuzzy comprehensive evolution model is proposed. Three low-level video features are extracted as typical features, and they are video key-light, video colour energy...
According to the strong interference in performance and the difficulty in register of the multi-color web offset press ,this paper uses the anti-interference ability of PLC and rich hardware and software resources of computer, adopting PLC and PC respectively as the on-site slave computer and host computer, at the same time, it uses camera as image acquisition tool. Based on all these above, the paper...
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...
The packaging of goods is a language which tells the customers the attributes, functions, connotation, taste and cultural meaning of products. In this paper, the basic theory of semiotics is used to interpret the semiotic meaning of packaging, and the concept of packaging semantics is put forward. First, some basic element, such as symbols, semiotics, and product semantics are discussed in brief....
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...
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