Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759907
N. Shamsuddin, M. Taib
This paper proposed the heart disease modeling system based on heart sounds. The model uses ARX model as regression vector and Neural Network as nonlinear model structures. The number of hidden neurons was optimised by minimizing the criterion of NSSE, fit and FPE criterion. The model architecture of 2-4-1 perfectly fits the original heart sound signals with average R-square of above 99.9%. The weight parameters of the models were then estimated and analysed for the purpose of classification of the heart diseases.
{"title":"Nonlinear ARX modeling of heart diseases based on heart sounds","authors":"N. Shamsuddin, M. Taib","doi":"10.1109/CSPA.2011.5759907","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759907","url":null,"abstract":"This paper proposed the heart disease modeling system based on heart sounds. The model uses ARX model as regression vector and Neural Network as nonlinear model structures. The number of hidden neurons was optimised by minimizing the criterion of NSSE, fit and FPE criterion. The model architecture of 2-4-1 perfectly fits the original heart sound signals with average R-square of above 99.9%. The weight parameters of the models were then estimated and analysed for the purpose of classification of the heart diseases.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"18 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121008316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759881
N. Ismail, M. Rahiman, M. Taib
This paper presents a review on models for heating process in food, manufacturing and agricultural industries. The review come out with the table to summary on different modeling technique and their developed models for heating process in various applications. There are many techniques to develop the heating process and some of them are numeric, first principle, system identification and a combination of first principle and system identification. During the review, it was found that heating is a linear process and more review for linear model on heating process are done. They are Finite Impulse Response (FIR), Auto-Regressive with Exogenous Input (ARX) model, Auto-Regressive Moving Average (ARMA) model, Auto-Regressive Moving Average with Exogenous Input (ARMAX) model, Output-Error (OE) model and Box-Jenkins (BJ) model. Among all, the review has highlighted that ARX model is the simplest structure, easy to find analytical solutions and provide excellent performance.
{"title":"Models for heating process — A review","authors":"N. Ismail, M. Rahiman, M. Taib","doi":"10.1109/CSPA.2011.5759881","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759881","url":null,"abstract":"This paper presents a review on models for heating process in food, manufacturing and agricultural industries. The review come out with the table to summary on different modeling technique and their developed models for heating process in various applications. There are many techniques to develop the heating process and some of them are numeric, first principle, system identification and a combination of first principle and system identification. During the review, it was found that heating is a linear process and more review for linear model on heating process are done. They are Finite Impulse Response (FIR), Auto-Regressive with Exogenous Input (ARX) model, Auto-Regressive Moving Average (ARMA) model, Auto-Regressive Moving Average with Exogenous Input (ARMAX) model, Output-Error (OE) model and Box-Jenkins (BJ) model. Among all, the review has highlighted that ARX model is the simplest structure, easy to find analytical solutions and provide excellent performance.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127472960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759857
D. A. Awang Iskandar, Ng Jo Ling, A. H. Fauzi
The process of grading Malaysia Pepper berries are still semi-automatic. One of the grading criteria is based on the extraneous and foreign matters that exist in pepper berries samples. Therefore, in this paper we propose image processing techniques to identify the foreign matter. We analyse the number of foreign matters in the image and locate them using the xPepper Identification System. Our finding shows that image processing techniques eases the manual approach as it saves time and cost of human labour.
{"title":"Foreign matter identification in Piper Nigrum samples","authors":"D. A. Awang Iskandar, Ng Jo Ling, A. H. Fauzi","doi":"10.1109/CSPA.2011.5759857","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759857","url":null,"abstract":"The process of grading Malaysia Pepper berries are still semi-automatic. One of the grading criteria is based on the extraneous and foreign matters that exist in pepper berries samples. Therefore, in this paper we propose image processing techniques to identify the foreign matter. We analyse the number of foreign matters in the image and locate them using the xPepper Identification System. Our finding shows that image processing techniques eases the manual approach as it saves time and cost of human labour.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115021459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759849
Mohd Saifizi Saidonr, H. Desa, Noor Rudzuan
In this paper, differential steering control with proportional controller method are developed. In the steering control of mobile robot, the underlying dynamics of processes are often highly complex due to operating problems such as actuator constrains, time delay and disturbances. Because of these reasons, many control system of mobile robots require extensive retuning the control parameter and the worst cases may result in redesigning or change the control program and hardware. To solve the above mentioned problems, we use proportional control method. Based on the model proportional control method, we predict the path that the mobile robot will follow by using the current velocities of the right wheel and the left wheel which update the real-time current position of mobile robot. The model proportional method is to overcome time delay cause by slow response of the sensor and other dynamic processes. The outputs from the control are the velocity and angular velocity of mobile robot. From these velocity and angular velocity of mobile robot we determine the number of encoder pulses for the right wheel and left wheel. The number of encoder pulses for the right wheel and left wheel are input to the right DC motor and to the left DC motor of mobile robot to generate the velocity of each wheel. The proportional controller is used to produce the same speed of the right wheel and the left wheel in order to make the mobile robot move in a straight line. It also used to produce the desired speed of the right wheel and left wheel for steering control to make left or right turning.
{"title":"A differential steering control with proportional controller for an autonomous mobile robot","authors":"Mohd Saifizi Saidonr, H. Desa, Noor Rudzuan","doi":"10.1109/CSPA.2011.5759849","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759849","url":null,"abstract":"In this paper, differential steering control with proportional controller method are developed. In the steering control of mobile robot, the underlying dynamics of processes are often highly complex due to operating problems such as actuator constrains, time delay and disturbances. Because of these reasons, many control system of mobile robots require extensive retuning the control parameter and the worst cases may result in redesigning or change the control program and hardware. To solve the above mentioned problems, we use proportional control method. Based on the model proportional control method, we predict the path that the mobile robot will follow by using the current velocities of the right wheel and the left wheel which update the real-time current position of mobile robot. The model proportional method is to overcome time delay cause by slow response of the sensor and other dynamic processes. The outputs from the control are the velocity and angular velocity of mobile robot. From these velocity and angular velocity of mobile robot we determine the number of encoder pulses for the right wheel and left wheel. The number of encoder pulses for the right wheel and left wheel are input to the right DC motor and to the left DC motor of mobile robot to generate the velocity of each wheel. The proportional controller is used to produce the same speed of the right wheel and the left wheel in order to make the mobile robot move in a straight line. It also used to produce the desired speed of the right wheel and left wheel for steering control to make left or right turning.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122758107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759896
A. Samad, Rohayu Harun Narashid, SAIFUL AMAN Bin HJ SULAIMAN, N. N. Adzman
Grape is one of the demanded fruits in Malaysia. Grape is also well known as one of the expensive and exclusive fruits, because it hardly to be grown in tropical climate. Today, there are certain types of grapes that can be planted in Malaysia and it had been proved by the Perlis Department of Agriculture. Thus, there are also some of Malaysian citizen that bravely plants the grapes such as in Sendayan Valley and Beris. Nowadays many people become excited on planting the grapes. This research study is with intention to explore and determine the suitable criteria and area for grapes plantation in Perlis State. The analysis is made based on the agro-climatic, soil series and the location of land with co-relation to the road network and terrain condition. The analysis is done through the Geographic Information System (GIS) approach. The analysis tools that been use such as intersect, buffer zone and erase tools is used based on the criteria being chosen. Finally, the potentially grape plantation area map is generated and zone for suitable and marginal suitable for grapes plantation in Perlis State is presented.
{"title":"A study on potentially grape plantation area in perlis state using geographical information system (GIS) approach","authors":"A. Samad, Rohayu Harun Narashid, SAIFUL AMAN Bin HJ SULAIMAN, N. N. Adzman","doi":"10.1109/CSPA.2011.5759896","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759896","url":null,"abstract":"Grape is one of the demanded fruits in Malaysia. Grape is also well known as one of the expensive and exclusive fruits, because it hardly to be grown in tropical climate. Today, there are certain types of grapes that can be planted in Malaysia and it had been proved by the Perlis Department of Agriculture. Thus, there are also some of Malaysian citizen that bravely plants the grapes such as in Sendayan Valley and Beris. Nowadays many people become excited on planting the grapes. This research study is with intention to explore and determine the suitable criteria and area for grapes plantation in Perlis State. The analysis is made based on the agro-climatic, soil series and the location of land with co-relation to the road network and terrain condition. The analysis is done through the Geographic Information System (GIS) approach. The analysis tools that been use such as intersect, buffer zone and erase tools is used based on the criteria being chosen. Finally, the potentially grape plantation area map is generated and zone for suitable and marginal suitable for grapes plantation in Perlis State is presented.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128725599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759833
Ahmed Naser Hussein, S. Mashohor, M. Saripan
Image identification of plant leaves based on human vision is difficult task as well as plant identification based on keywords retrieval. It requires the domain knowledge in the botanist field. This work proposes the image texture analysis using Discrete Wavelet Transformation (DWT) and combined with an entropy measurement to identify a query image to one of seven classes that consists of 280 plant leaves images. The experimental results show that the proposed method yields higher correctness retrieval accuracy rate which reaches up to 92% compared to the Gray Level Co-occurrence Matrix (GLCM) that gives 49.28%.
{"title":"A texture-based approach for content based image retrieval system for plant leaves images","authors":"Ahmed Naser Hussein, S. Mashohor, M. Saripan","doi":"10.1109/CSPA.2011.5759833","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759833","url":null,"abstract":"Image identification of plant leaves based on human vision is difficult task as well as plant identification based on keywords retrieval. It requires the domain knowledge in the botanist field. This work proposes the image texture analysis using Discrete Wavelet Transformation (DWT) and combined with an entropy measurement to identify a query image to one of seven classes that consists of 280 plant leaves images. The experimental results show that the proposed method yields higher correctness retrieval accuracy rate which reaches up to 92% compared to the Gray Level Co-occurrence Matrix (GLCM) that gives 49.28%.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121490459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759873
Intan Maisarah Abd Rahim, F. Mat, S. Yaacob, R. Siregar
This study is to develop a system of a non-destructive testing on the material to define the mechanical properties of material. The study focused on experimental and testing of the material mechanical properties using vibration technique. By applying vibration analysis and testing on the material, we could determine the natural frequencies, the damping ratio and mode shapes of the structure. However, in this study, we only considering the natural frequencies of the material as the input data needed for training. As an extension for the study, k-Nearest Neighbor classifier is developed to work as a system to classify the materials tested according to their mechanical properties. The result from the classification system shows that k-NN is giving the accuracy of 99.79783 % with the k value of 1.
{"title":"The classification of material mechanical properties using non-destructive vibration technique","authors":"Intan Maisarah Abd Rahim, F. Mat, S. Yaacob, R. Siregar","doi":"10.1109/CSPA.2011.5759873","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759873","url":null,"abstract":"This study is to develop a system of a non-destructive testing on the material to define the mechanical properties of material. The study focused on experimental and testing of the material mechanical properties using vibration technique. By applying vibration analysis and testing on the material, we could determine the natural frequencies, the damping ratio and mode shapes of the structure. However, in this study, we only considering the natural frequencies of the material as the input data needed for training. As an extension for the study, k-Nearest Neighbor classifier is developed to work as a system to classify the materials tested according to their mechanical properties. The result from the classification system shows that k-NN is giving the accuracy of 99.79783 % with the k value of 1.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114769351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759922
S. Keerativittayanun, T. Kondo, P. Sira-uksorn, T. Phatrapornant, M. Sato
Colour structured light with spatial neighbourhood is one of the famous techniques that are used to acquire 3D information. By projecting the pattern onto the targeted object and taking the image, the structured light is measured as coded words and the corresponding points could be found. Finally, the process to reconstruct 3D information could be solved using the principle of triangulation. A major group of this technique, normally, limited to the opaque and single neutral color surfaces. However, with shiny and several neutral colors, one structured light pattern would not enough to get the correct segmentation and right decoding label. This paper aims to solve the incorrectness by adding the patterns into surface object. The selective pattern is based on De Bruijn Hybrid pattern from Pages and Salvi et al. The results have shown that the proposed method got more accuracy when compare to one shot pattern.
{"title":"3D scan of a color object using a color structured light pattern","authors":"S. Keerativittayanun, T. Kondo, P. Sira-uksorn, T. Phatrapornant, M. Sato","doi":"10.1109/CSPA.2011.5759922","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759922","url":null,"abstract":"Colour structured light with spatial neighbourhood is one of the famous techniques that are used to acquire 3D information. By projecting the pattern onto the targeted object and taking the image, the structured light is measured as coded words and the corresponding points could be found. Finally, the process to reconstruct 3D information could be solved using the principle of triangulation. A major group of this technique, normally, limited to the opaque and single neutral color surfaces. However, with shiny and several neutral colors, one structured light pattern would not enough to get the correct segmentation and right decoding label. This paper aims to solve the incorrectness by adding the patterns into surface object. The selective pattern is based on De Bruijn Hybrid pattern from Pages and Salvi et al. The results have shown that the proposed method got more accuracy when compare to one shot pattern.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128139392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759921
Z. Othman, A. Wan, A. Anuar
The landslide is considered as one of the worst natural disaster that continuously affecting many tropical countries, especially during the monsoon season. Landslides bring destructiveness and various losses to the human living. For the past 25 years, many rainfall induced landslides have occurred throughout our country that strikes the citizens, especially near the hillside areas whereby several properties damaged, human deaths and injured had been reported. Landslide monitoring scheme is therefore very crucial and should be done continuously. Various studies have been conducted to monitor the landslide activity using many approaches, such as classical geotechnical and geodetic surveying method. Each of these approaches posed their own advantages and limitations. This study discusses the effectiveness of satellite tracking data in landslide monitoring. This project area located at Section 5, Wangsa Maju, Kuala Lumpur. The monitoring network consists of four (2) control points namely M01 and G01, and eleven (11) monitoring. Five GPS surveys involving 11 GPS points have been conducted, namely 1st epoch - May 2005, 2nd - November 2005, 3rd epoch - May 2006, 4ft - November 2006 and 5ft - May 2007, respectively separate by using two GPS observation modes such as static (1st,2nd and 3rd epoch) and rapid static (4ft and 5ft epoch) mode. The results of GPS surveys show that the magnitudes of land movements in the study area vary from mm to cm level, depending on the location and the observatiuon period in relation with rainy and dry season. The paper will also discuss the constraints faced by GPS survey method in the landslide prone area environment, which is usually hilly and sloping sharply.
{"title":"Evaluating the performance of GPS survey methods for landslide monitoring at hillside residential area: Static vs rapid static","authors":"Z. Othman, A. Wan, A. Anuar","doi":"10.1109/CSPA.2011.5759921","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759921","url":null,"abstract":"The landslide is considered as one of the worst natural disaster that continuously affecting many tropical countries, especially during the monsoon season. Landslides bring destructiveness and various losses to the human living. For the past 25 years, many rainfall induced landslides have occurred throughout our country that strikes the citizens, especially near the hillside areas whereby several properties damaged, human deaths and injured had been reported. Landslide monitoring scheme is therefore very crucial and should be done continuously. Various studies have been conducted to monitor the landslide activity using many approaches, such as classical geotechnical and geodetic surveying method. Each of these approaches posed their own advantages and limitations. This study discusses the effectiveness of satellite tracking data in landslide monitoring. This project area located at Section 5, Wangsa Maju, Kuala Lumpur. The monitoring network consists of four (2) control points namely M01 and G01, and eleven (11) monitoring. Five GPS surveys involving 11 GPS points have been conducted, namely 1st epoch - May 2005, 2nd - November 2005, 3rd epoch - May 2006, 4ft - November 2006 and 5ft - May 2007, respectively separate by using two GPS observation modes such as static (1st,2nd and 3rd epoch) and rapid static (4ft and 5ft epoch) mode. The results of GPS surveys show that the magnitudes of land movements in the study area vary from mm to cm level, depending on the location and the observatiuon period in relation with rainy and dry season. The paper will also discuss the constraints faced by GPS survey method in the landslide prone area environment, which is usually hilly and sloping sharply.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115984012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759865
Wenxin Yu, Ning Jiang, Xin Jin, S. Goto
This paper introduces an adaptive low power decoding process with temporal prediction method for common video. This method can be used to reduce the decoding time and reduce the decoding power consumption by skipping the decoding process of some frames and reducing the frame rate. With the temporal prediction, it is different from the certain frame skipping scheme in the temporal scalable decoding process with frame rate down conversion method (TSDP) [2]. This method considers the video quality loss when the current frame is skipped and chooses the skipping scheme which causes minimum cost, so this method can be also used in the common video cases. And compares with the temporal scalable decoding process with frame rate down conversion method, the video quality (PSNR) is improved about 0.01 – 2.4 dB in the experimental common video cases by using the temporal prediction method. And can reduce the decoding time based on the number of the skipped frames, and it can get about 65% – 86% reduction which compares with the frame rate reduction in the experimental cases.
{"title":"Adaptive low power decoding process with temporal prediction method for common video","authors":"Wenxin Yu, Ning Jiang, Xin Jin, S. Goto","doi":"10.1109/CSPA.2011.5759865","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759865","url":null,"abstract":"This paper introduces an adaptive low power decoding process with temporal prediction method for common video. This method can be used to reduce the decoding time and reduce the decoding power consumption by skipping the decoding process of some frames and reducing the frame rate. With the temporal prediction, it is different from the certain frame skipping scheme in the temporal scalable decoding process with frame rate down conversion method (TSDP) [2]. This method considers the video quality loss when the current frame is skipped and chooses the skipping scheme which causes minimum cost, so this method can be also used in the common video cases. And compares with the temporal scalable decoding process with frame rate down conversion method, the video quality (PSNR) is improved about 0.01 – 2.4 dB in the experimental common video cases by using the temporal prediction method. And can reduce the decoding time based on the number of the skipped frames, and it can get about 65% – 86% reduction which compares with the frame rate reduction in the experimental cases.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128331920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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