Given the great diversity of pathways into which the visual system signal splits after arriving at area V1, many researchers have proposed solutions to the ''binding problem'' of reunifying the informa...
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ISBN:
(纸本)0819424277
Given the great diversity of pathways into which the visual system signal splits after arriving at area V1, many researchers have proposed solutions to the ''binding problem'' of reunifying the information after specialized processing. Most solutions require pathways to maintain synchrony and share information, which in turn requires some similarity of mechanisms and/or the spaces in which they operate. We examine the extent to which such similarity can occur between motion and color processing pathways, by using a multiple stage motion detection algorithm for processing color change. We first review the motion algorithm chosen, then we present a model for certain changes in hue, discuss the possible uses for such processes in the visual system, and present results of applying this model to both motion and color in this manner.
In view of the problems that existing visual interface development tool are the interface display code and the logic code are higher coupled, and little weaker in portability and lower extensibility. This paper presen...
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ISBN:
(纸本)9781509038237;9781509038220
In view of the problems that existing visual interface development tool are the interface display code and the logic code are higher coupled, and little weaker in portability and lower extensibility. This paper presents a cross platform visual interface development tool based on template and introduces its key design technologies and system structure. The system uses a unified template management mechanism and registration message response function mechanism to ensure the unity of the interface style and achieve the interface display code and control logic code decoupling, making the development of the interface has a better portability and scalability. At the same time, it gives the design of the interface scripting engine and the method of parsing. Experimental test and analysis, interface, developed by the development of the system, can be used in heterogeneous communicationprocessing platform.
This paper describes recent work on the automatic extraction of visual and audio parameters relating to the detection of synchrony in discourse, and to the modelling of active listening for advanced speech technology....
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ISBN:
(纸本)9781615676927
This paper describes recent work on the automatic extraction of visual and audio parameters relating to the detection of synchrony in discourse, and to the modelling of active listening for advanced speech technology. It reports findings based on image processing that reliably identify the strong entrainment between members of a group conversation, and describes techniques for the extraction and analysis of such information.
A general adaptive protocol to operate modems with minimum latency while extracting the maximum throughput is presented. Modern modems have large internal buffers and complex error correction and data compression prot...
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ISBN:
(纸本)0819424897
A general adaptive protocol to operate modems with minimum latency while extracting the maximum throughput is presented. Modern modems have large internal buffers and complex error correction and data compression protocols. The internal buffering in modems generally leads to large latencies and jitters in latency. Buffers in the communication drivers and operating system add to latency in the path. These shortcomings can be overcome using a special protocol so that a tighter bound an latency and jitter can be specified. This can benefit the real-time communication over modems.
This paper presents a study on the image processing techniques used to identify and classify fungal disease symptoms affected on different agriculture/horticulture crops. Computers have been used to mechanization, aut...
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This paper presents a study on the image processing techniques used to identify and classify fungal disease symptoms affected on different agriculture/horticulture crops. Computers have been used to mechanization, automation, and to develop decision support system for taking strategic decision on the agricultural production and protection research. The plant disease diagnosis is limited by the human visual capabilities because most of the first symptoms are microscopic. As plant health monitoring is still carried out by humans due to the visual nature of the plant monitoring task, computer vision techniques seem to be well adapted. One of the areas considered here is the processing of images of disease affected agriculture/horticulture crops. The quantity and quality of plant products gets reduced by plant diseases. The goal is to detect, to identify, and to accurately quantify the first symptoms of diseases. Plant diseases are caused by bacteria, fungi, virus, nematodes, etc., of which fungi is the main disease causing organism. Focus has been done on the early detection of fungal disease based on the symptoms. (C) 2015 The Authors. Published by Elsevier B.V.
Steady State visually Evoked Potential (SSVEP) is the electro encephalograph (EEG) response observed at the occipital region of the brain to a visual stimulation having a periodic intensity variation. When the retina ...
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ISBN:
(纸本)9781479976782
Steady State visually Evoked Potential (SSVEP) is the electro encephalograph (EEG) response observed at the occipital region of the brain to a visual stimulation having a periodic intensity variation. When the retina is excited by a visual stimulus ranging from 3.5 Hz to 75 Hz, the brain generates electrical activity at the same or multiples of frequency of the visual stimulus. SSVEP response can be used to determine the light source the subject is viewing and can form an useful part of a brain machine interface (BMI). Here we present an Android Application that produces visual stimuli, receives EEG signals and performs real time signal processing that enables the classification of the signal spectrum. This is aimed at providing a speller technology for the disabled.
In this study, the goal is to conduct and develop a system that will transmit electric consumption reading using wireless technology and analyzing the data with the use of image processing. The researcher created a wi...
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ISBN:
(纸本)9781538677674
In this study, the goal is to conduct and develop a system that will transmit electric consumption reading using wireless technology and analyzing the data with the use of image processing. The researcher created a wireless transmission of data acquisition using Raspberry Pi which aimed to make the meter reading more convenient and faster. The process starts by capturing the image of the electric meter using Raspberry Pi cam. The software use is python a powerful multi-paradigm computer programming language, optimized for programmer productivity, code readability and software quality [1]. The picture will be saved in a local folder and then using image processing it will analyze the picture. After analyzing, the result will be sent to the database. The database used in the system is SQL (Structured Query Language) the standard programming language use to create, update, and retrieve information that is stored in the database [2]. The information stored in the database are the following, data of electric consumption, the time retrieved and account number of the consumer. For the GUI design of the software visual basic studio is use. Programming using this language has also been made easier by using visual tools provided by visual Studio [3]. Based on the result of the data gathered the study was found out to be effective regarding reading the electric consumption since it produces a rating of above 90% accuracy during functionality test.
This paper introduces the concept of a responsive environment which perceives human behavior and responds with intelligent auditory and visual feedback. Several exhibits of responsive environments, implemented by the ...
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The description of natural phenomena from different Earth Observation (EO) activity domains is represented by complex processes that involve a solid understanding of the phenomena, the syntactic and semantic descripti...
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ISBN:
(纸本)9781467382007
The description of natural phenomena from different Earth Observation (EO) activity domains is represented by complex processes that involve a solid understanding of the phenomena, the syntactic and semantic description of the proposed solutions, the experimental data collection, and the analysis and interpretation of the results. Such a use case scenario is modeled as a collection of operators that are able to generate in a finite amount of time a valid output, based on a range of input data sets. The current paper aims at identifying the main EO data processing types and providing a set of basic operators that represent the core of the KEOPS (Kernel Operators) system. At the moment, several researches are conducted to find the best solution of integrating this system within the BigEarth platform, but the main idea is to use KEOPS as a plugin that can fit within any EO related platform that aims at processing spatial data. One main advantage of using the KEOPS system is the possibility of easily extending its core dataset with new operators that fulfill the needs of developing complex use case scenarios.
In this paper, we investigate the question of how the visualinformation of lip movement contributes to command-word recognition. The fusion of the acoustic and visual signal can be carried out either at the feature l...
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ISBN:
(纸本)0818679204
In this paper, we investigate the question of how the visualinformation of lip movement contributes to command-word recognition. The fusion of the acoustic and visual signal can be carried out either at the feature level or at the class level. Integration at the feature level means merging of the acoustic and visual features to yield a combined feature vector which is feed into a HMM-system. Fusion at the class level means separate classification of the two sources of information and combination of the classification results. An HMM classifier is used for the acoustic signal and three different classifiers (HMM, DTW and ClaRe) for the visual signal. The classification results are combined using C4.5. The recognition rates of both fusion schemes are comparable. Both yield small improvements at high SNR's using the acoustic/visual system in comparison to the acoustic system alone. Larger improvements (up to 12%) result at low SNR's.
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