發(fā)布時(shí)間：2018-06-24 18:38

  本文選題：圖片 + 元數(shù)據(jù)　； 參考：《北京第二外國(guó)語(yǔ)學(xué)院》2017年碩士論文

【摘要】：隨著時(shí)代的進(jìn)步和發(fā)展,旅游作為一種休閑方式融入人們的日常生活,攝影活動(dòng)是游客獲得旅游體驗(yàn)并進(jìn)行信息傳播的主要方式。隨著互聯(lián)網(wǎng)技術(shù)的快速發(fā)展,傳統(tǒng)的拍照的方式從根本上發(fā)生了改變,用戶(hù)可以通過(guò)拍攝設(shè)備進(jìn)行照片的分享和互動(dòng),將篩選或加工過(guò)的照片上傳到各種在線(xiàn)共享服務(wù)網(wǎng)站,社交網(wǎng)絡(luò)圖片成為旅游目的地形象傳播的主要渠道之一。隨著多媒體數(shù)據(jù)的增多,海量的網(wǎng)絡(luò)數(shù)據(jù)為科學(xué)研究提供了更加豐富的樣本,通過(guò)獲取網(wǎng)絡(luò)數(shù)據(jù),對(duì)網(wǎng)絡(luò)文本進(jìn)行分析成為新興的研究渠道。在旅游目的地的形象測(cè)量中,傳統(tǒng)的測(cè)量方法仍然占據(jù)主要地位,結(jié)構(gòu)性測(cè)量及非結(jié)構(gòu)性測(cè)量無(wú)法在圖片測(cè)量中提供準(zhǔn)確的測(cè)量指標(biāo)。傳統(tǒng)基于圖片的旅游目的地形象研究主要通過(guò)雇傭拍照法獲取研究樣本,圖片的測(cè)量?jī)?nèi)容的分類(lèi)仍以人工識(shí)別與編碼為主,并且現(xiàn)有的相關(guān)研究較少,無(wú)法以海量網(wǎng)絡(luò)圖片為樣本快速、有效、準(zhǔn)確的進(jìn)行數(shù)據(jù)的處理及目的地形象的提取。針對(duì)以上問(wèn)題本研究以認(rèn)知心理學(xué)及形象結(jié)構(gòu)理論為指導(dǎo)構(gòu)建了基于圖片元數(shù)據(jù)的旅游目的地形象測(cè)量框架,并采用Flickr上的圖片元數(shù)據(jù)為樣本提取了北京旅游目的地形象。主要依據(jù)圖片元數(shù)據(jù)的中名詞相關(guān)詞匯進(jìn)行了認(rèn)知形象的提取,形容詞相關(guān)詞匯進(jìn)行了情感形象的提取,此外對(duì)部分抽樣圖片內(nèi)容進(jìn)行了情態(tài)的分析,加之其他可用元數(shù)據(jù)獲取了北京的整體旅游目的地形象。研究過(guò)程運(yùn)用人工與計(jì)算機(jī)技術(shù)相結(jié)合的手段,在數(shù)據(jù)提取、篩選等方面運(yùn)用大數(shù)據(jù)分析方法,力求使測(cè)量結(jié)果更加客觀,使此測(cè)量方法具有可信性、可操作性及簡(jiǎn)便性。最終,為基于圖片的旅游目的地形象分析提供了一個(gè)新的研究角度,進(jìn)一步擴(kuò)寬了旅游目的地形象測(cè)量路徑,為今后的相關(guān)研究提供了參考。
[Abstract]:With the progress and development of the times, tourism, as a leisure way, is integrated into people's daily life. Photography is the main way for tourists to get tourism experience and spread information. With the rapid development of Internet technology, the traditional way of taking photos has fundamentally changed. Users can share and interact with each other through shooting devices, upload filtered or processed photos to various online sharing service websites. Social network pictures become one of the main channels of image transmission of tourist destination. With the increase of multimedia data, massive network data provide more abundant samples for scientific research. Through obtaining network data, analyzing network text has become a new research channel. In the image measurement of tourist destination, the traditional measurement method still occupies the main position, the structural measurement and the non-structural measurement can not provide the accurate measurement index in the picture measurement. Traditional picture-based tourism destination image research mainly through employment photography method to obtain research samples, image measurement content classification is still based on manual identification and coding, and the existing research is less relevant. Can not take the massive network picture as the sample fast, effective, accurate carries on the data processing and the destination image extraction. Based on the cognitive psychology and the theory of image structure, this study constructs a framework for image measurement of tourism destination based on image metadata, and extracts the image of Beijing tourism destination by using the image metadata of Flickr as the sample. Mainly according to the image metadata in the noun-related vocabulary for cognitive image extraction, adjective related words for emotional image extraction, in addition to part of the sample picture content of modal analysis, Combined with other available metadata to obtain the overall image of Beijing's tourism destination. In the course of research, the method of big data analysis is used in data extraction, screening and so on to make the measurement result more objective, which makes the method credible, operable and simple. Finally, it provides a new research angle for image analysis of tourist destination based on pictures, further broadens the measuring path of tourism destination image, and provides a reference for related research in the future.
【學(xué)位授予單位】：北京第二外國(guó)語(yǔ)學(xué)院
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：F592.7

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