Monday, January 27, 2020

Content-based Image Retrieval With Ant Colony Optimization

Content-based Image Retrieval With Ant Colony Optimization Content-based image retrieval with skin tones and shapes using Ant colony optimization Introduction: Due to the enormous pool of image data, a plenty of data to be sort out has lead the way for analyzing and dig up the data to acquire likely worthwhile information. Heterogeneous fields cover from commercial to military desire to inspect data in a systematic and quick manner. Outstandingly in the area of interactive media, images have the stronghold. There is no sufficient tools are available for examination of images. One of the points at issue is the effective pinpointing of features in the likeness and the other one is extracting them. NEED AND IMPORTANCE OF RESEACH PROBLEM Current techniques in image retrieval and classification concentrate on content-based techniques. It seek survey the contents of the image rather than thedata about datasuch as keywords, label or properties corresponding with the image. The term content refer to shades, appearance, textures, or any other particulars that can be obtained from the image itself. CBIR with skin tones is advisable because most net-based image search engines rely purely on metadata and this turn out a lot of waste in the results.Thus a system that can sifter images rest on their content with additional property i.e., skin tone would serve better list and return more specific outcomes. Various systems like the QBIC, Retrieval Ware and Photo Book etc., have a variety of attributes, still used in distinct discipline. The color features integrated with shape for classification, the color and texture for retrieval. There is no single feature which is ample; and, moreover, a single representation of characterist ics is also not enough. Sonith et al.[1996] describes a fully automated content – based image query systems. Ioloni et al. [1998] describes image retrieval by color semantics with incomplete knowledge. Mori et al. [1999] have applied dynamic programming technique for function approximated shape representation. Chang et al. [2001] describes information driven framework for image. Mira et al. [2002] describes fact content based image retrieval using Qusi – Gabir filler Vincent et al. [2007] have developed a fully automated content based image query system. Heraw et al. [2008] describes image retrieval will an enhanced multi modeling ontology. Taba et al. [2009] have used mining association rules for the feature matrin. OBJECTIVES Moreover, speed changes in industry and databases influencing our view and understanding of the problem over time and demanding alter in problem decoding approach. Consequently, further research is required in this field to develop algorithms for pick out images with skin tone and shapes, able to cope with ongoing technological changes. Investigation of effective images with skin tone and shapes based on pixel algorithms Extracting them based on optimization algorithms. Developing computational algorithms in extracting the images. The main objective is to study the Image Identification and Optimistic method of Image Extraction for Image Mining using Ant colony optimization .ACO, good solutions to a given optimization problem. To achieve this main objective, the goals are formulated as follows: To Study the Image Mining Techniques. To Explore the Approaches used in Selecting the Images To Explore the Extracting of the Features. To apply the powerful Techniques. To Analyze the Experimental Results. To Study the Optimization Techniques. To bring down calculation and taking out time. Work Plan: I will begin my research work by investigating different methodologies available in the literature and measure their applicability in different perspectives for common benefit. After that, I prefer to limit my research interest down from general to even more specific under the guidance of designated supervisor in the course so that it fits into university doctoral program curriculum. The research tasks are grouped year wise as follows. Year-1: Literature survey on various methods to get an idea of pattern matching, shapes and classification. Implementation of algorithms in order to gauge their applicability and scalability. Mathematical modelling of Ant colony Optimization considering new objectives and constraints existing in Image processing. Submission of a paper to a major conference Develop a detailed research proposal and give oral defense to get full registration of the course Year-2 Continue and refine the mathematical model to make the problem more actual Develop single objective optimization algorithms for effective extraction of Images. Start to develop multi objective optimization algorithms for extraction by considering large scale optimization and classification Submission of two papers to international conference and journals Year-3: Implementation of developed algorithms for analysis of images and optimization problems Submission of a paper to a major journal Completing a thesis based on the PhD project Taking part in active research groups. Publication of research work. REFFERENCES Beyer K et al. [1999]: Bottom-Up computation of sparse and Iceberg CUBEs. ACM SIGMOD. Carter R et al.[1983]: CIELUV color difference equations for self-luminoudisplays. Color Res. Appl., 8(4), 252–553. Chang SF et al. [1995]: Extracting multi-dimensional signal features for content-based visual query. SPIE Symposium on Visual Communications and Signal Processing. idoni J et al. [1998]: Image retrieval by color semantics with incomplete knowledge. Journal of the American Society for Information Science, 49(3), 267-282. evich V et al. [2008]: Medical Image Mining on the Base of Descriptive Image Algebras. Cytological Specimen Case. In : Proc.of the International Conference on Health Informatics—HEALTHINF, Funchal, Madeira, Portugal, 2, 66–73. Huan et al.[2008]: Image Retrieval ++ web Image Retrieval with an enhanced Multi-modality ontology . Kluwer Academic Publishers. Jaba Sheela et al. [2009]: Image mining using association rules derived from feature matrix. ACM, 440-443. Jain A [1991]: Algorithms for clustering data. Englewood Cliffs, NJ, Prentice Hall. Jain A et al.[1996]: Image Retrieval using color and shape. Pattern Recognition, 29(8):1233-1244. James D [1993]: Content based retrieval in multimedia imaging. In : Proc. SPIE Storage and Retrieval for Image and Video Databases. Kantardzic M [2003]: Data Mining, Wiley-Interscience. MaW et al.[1997]: Tools for texture/color based search of images. SPIE International conference Human Vision and Electronic Imaging, 496-507. Mira P et al.[2002]: Fast content-based image retrieval using quasi gabor filter and reduction of image feature dimension. SSIAI, 178-182. Mori K et al.[1999]: Function approximated shape representation using dynamic programming with multi-resolution analysis. ICSPAT 99. Niblack W et al. [1994]: The QBIC project: Querying images by content using color, texture and shape. In : Proc. SPIE Storage and Retrieval for Image and Video Databases. Pentland A et al. [1996]: Content based manipulation of databases. Int. J. Comput. Vis., 18(3), 233-254. Rui Y et al. [1999]: Image retrieval: current techniques, promising directions and open issues. Journal of Visual Communication and Image Representation, 10(4), 39-62. Shiaofen Fang et al. [2009]: Facial image classification of mouse embryos for the animal model study of Fetal Alcohol Syndrome. Proceedings of the 2009 ACM symposium on Applied Computing, 852-856. Smith J et al. [1996]: VisualSEEK: A fully automated content-based image query system. ACM Multimedia, 87-98. Vincent S et al. [2007]: Web Image Annotation by fusing visual features and textual information . SIGAPP’07,2007. Zaher Al Aghbari [2009]: Effective image mining by representing color histograms as time series. Journal of Advanced Computational Intelligence and Intelligent Informatics, 13, 109-114. Zaiane O et al.[1998]: Mining MultiMedia Data. CASCON98: Meeting of Minds, Toronto, Canada, 83-96,. Zhang Ji [2001]: An Information-driven framework for image mining. In : Proceedings of 12th International Conference on Database and Expert Systems Applications (DEXA), Munich, Germany. Zhang Ji et al. [2001]: Image Mining: issues, frameworks and techniques. In : Proceedings of the Second International Workshop on Multimedia Data Mining (MDM/KDD2001), San Francisco, CA, USA.

Sunday, January 19, 2020

National Student Speech Language Hearing Association :: Personal Narrative Writing

National Student Speech Language Hearing Association Even though I have only been in college for one semester I feel like I have done something very significant. I have met a person with a disorder, but they are unaware that they have this disorder. This person is a child and he can not speak. I have also experienced a feeling I have never had before. As a speech pathology major, I decided to join a club geared towards speech production and I knew I wanted to work with children. As I was climbing the stairs to my phonetics class, I saw a flyer for N.S.S.L.H.A. (National Student Speech Language Hearing Association). The flyer stated that the organization was only for people who were majoring in Communication and Science Disorders. But it said nothing about what the club did. Out of curiosity, I went to the first meeting on September 18th. I found out that the people in the organization help children and sometimes elderly people with speech problems. The first activity I did with N.S.S.L.H.A. was attending a book reading at Barnes and Noble. I was the first reader of the year and I was so excited because I love to do activities with children. I read If You Give a Mouse a Cookie to 15 children and their parents. I was actually also nervous because I wanted to do a good job. When I saw the kids that had come to hear me read I became so nervous that I made mistakes reading a children’s book. Even though this was a big deal to me, I had no idea of what was to come. I found out that the following weekend was a Flagstaff Family Day. This day was dedicated towards early intervention awareness. So when I arrived there I saw that most of the children were impaired somehow. Some of the children couldn’t pronounce certain letters, but there was one little boy named Jason who couldn’t talk at all. I decided to spend time with him because I had never spent time with a child like him before. Jason is about three years old and I was amazed by him. Since he is so young he doesn’t quite know that he has a speech disorder. I was making crafts with him; stuff like paper tambourines and masks.

Saturday, January 11, 2020

The Coexistence of Life and Death in Baraka, by Ron Fricke

The coexistence of life and death in Baraka, by Ron Fricke Why do people crowd a city and create problems for themselves? In 1992, Ron Fricke released the film Baraka, a film with no dialogue, and an inspiring soundtrack played over provocative scenes, typically comparing natural humans in their habitat to human damage and crowding. In two scenes, a big, dirty apartment complex is shown in contrast to a large, unclean cemetery, creating juxtaposition between the two. In the first scene, there are numerous buildings, showing that as the world population increases, conditions worsen as humans fight for space. The Kowloon walled city has a twisting series of stairways, alleys, and cat walks. These buildings, wrapped around an old military fort, are all at least 10 stories high, and dotted with clothes lines, water barrels and trash. The site was evicted and demolished in 1992. In the distance, a bustling city pays no attention to the stained, dirty concrete buildings, where 33,000 occupants face daily poverty in 250 square foot apartments. What is the result of such overcrowding? The industrial revolution of the 19th century showed us the answer. A substantial amount of residents lived around the factories, to shorten their commute. As population density increased, conditions soon became deplorable. To solve this problem, 19th century leaders introduced public transportation, which spread people out, and created a sustainable environment. In a following scene, the camera pans out to La Ciudad Blanca, Ecuador, an enormous grave yard, with multi level complexes of dirty white graves. Each grave has a personal adornment, from their loved ones. From candles to pictures, the decorations make every box look a little more humanized. It is strangely beautiful, with the messages and the grass growing through cracks in the pavement. This scene shows that as a world, when we get overcrowded, we must overcrowd other aspects of life. This really shows that death is a part of life as life is a part of death. These two juxtaposed scenes show how overcrowding is an issue and it’s hard to put a face on a statistic. The idea of putting a huge city and a huge cemetery together makes a point, that the present city solution has been adopted in cemeteries. The cycle of poverty comes into play, when so many are trapped in one place, with no room to improve; they end up in the same spot after life, and leave their children in the same rut. This idea was explored in Sandra Cisneros’s book, The House on Mango Street, where Esperanza realizes the only way out of the cycle is through hard work and higher education. The film Baraka teaches us many lessons, including the fact of overcrowding, and the harm it has caused, and will cause. In the walled city, thousands of people went without basic sanitation, and lived in 250 square feet or less, often working all day to provide for there families. When trapped in this cycle, you will end up in the same state of poverty as you were in during life. Hard work is the key of success and getting out of poverty.

Friday, January 3, 2020

The Importance of Organic Food in Hotels - 1838 Words

Abstract In this research paper it focuses on the impact of organic food on the hospitality industry and the reaction of the hotel industry to the organic food according to the global trend of organics based on the perspective of the consumers. This research also reveals us with the total amount of organic food trade that the hotels bring organic food in the FB and change the operating system in the kitchen, FB department and the marketing, which is included food control supply, menu design etc., which not only make the hotel industry much more competitive and intensive, also more environmental-friendly due to organic food. Introduction As is well-known, the increasing consumers’ consciousness of food safety and health issues and†¦show more content†¦In that sense, Building a strong business relationship with the local suppliers through close contact is to understand what hotels expect and what suppliers should deliver. Appealing to it, tons of resorts hotels are locating in a farm, not only because of its panorama, but also to get the freshest ingredients like meat, cheese, vegetables etc. directly from that local farm to provide the guests the best quality and the most natural and nutrient food and to give them a eco-friendly place to spend their holidays. On the other way, the organic food suppliers have to be certified by the government according to their standardized rules for organic food. What is worth to mention is, the Moss Grove Hotel also has put the organic white wine, red wine, rosà © and champagne on the wine list for varied options. In addition, organic food has also given the hotel more options of menu according to seasonal food. Menu planning is significant for a hotel to have a power to bring the customers coming in. It is vital to understand the importance of the content of the menu; it has to meet the expectations of the consumers. Moreover, the food that is imported from other countries does not contain the same value of nutrients as them from the local farms, due to the transportation;many fruits and vegetables may not be kept fresh and lose the nutrients. So at this point, the food like local eggs, cheese, chicken or beef that is providedShow MoreRelatedBenefits Of Traditional Food Products780 Words   |  4 Pagesprotecting investors. When talking about functional food products it is noticed that they are much less common in China than in Western Europe and North America and the Chinese organic market is still in its infancy. However, although still timid, organic and functional foods are starting to b e present in supermarkets and other caterings in China. Growing increasingly distrustful of local food sources, many people are turning to organics and/or imported food items, which are perceived to be safer. 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