TAILIEUCHUNG - Báo cáo khoa học: "Text Analysis for Automatic Image Annotation"

We present a novel approach to automatically annotate images using associated text. We detect and classify all entities (persons and objects) in the text after which we determine the salience (the importance of an entity in a text) and visualness (the extent to which an entity can be perceived visually) of these entities. We combine these measures to compute the probability that an entity is present in the image. The suitability of our approach was successfully tested on 100 image-text pairs of Yahoo! News. . | Text Analysis for Automatic Image Annotation Koen Deschacht and Marie-Francine Moens Interdisciplinary Centre for Law IT Department of Computer Science Katholieke Universiteit Leuven Tiensestraat 41 3000 Leuven Belgium @ Abstract We present a novel approach to automatically annotate images using associated text. We detect and classify all entities persons and objects in the text after which we determine the salience the importance of an entity in a text and visualness the extent to which an entity can be perceived visually of these entities. We combine these measures to compute the probability that an entity is present in the image. The suitability of our approach was successfully tested on 100 image-text pairs of Yahoo News. 1 Introduction Our society deals with a growing bulk of unstructured information such as text images and video a situation witnessed in many domains news biomedical information intelligence information business documents etc. . This growth comes along with the demand for more effective tools to search and summarize this information. Moreover there is the need to mine information from texts and images when they contribute to decision making by governments businesses and other institutions. The capability to accurately recognize content in these sources would largely contribute to improved indexing classification filtering mining and interrogation. Algorithms and techniques for the disclosure of information from the different media have been developed for every medium independently during the last decennium but only recently the interplay between these different media has become a topic of 1000 interest. One of the possible applications is to help analysis in one medium by employing information from another medium. In this paper we study text that is associated with an image such as for instance image captions video transcripts or surrounding text in a web page. We develop techniques that .

• Báo cáo khoa học
• Text Analysis
• Automatic Image Annotation
• Koen Deschacht and Marie Francine Moens
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• International journal of computer science & communication networks
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• Given text in marathi language
• Marathi Language using Ruled Bases Approach
• Natural language processing
• Systemic functional grammar
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• Analysis of the text
• Preprocessing techniques for text mining
• Knowledge discovery in text
• Knowledge of intelligent text analysis
• Mkisan portal
• Text message
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• Farmers of Bagalkot
• Farming community
• A Comparison and Semi Quantitative Analysis
• Words and Character Bigrams as Features
• Chinese Text Categorization
• Extracting a Representation
• Text for Semantic Analysis
• Long Papers
• báo cáo ngôn ngữ
• Fast Methods
• Kernel based Text Analysis
• Taku Kudo and Yuji Matsumoto
• Noun Phrase Analysis
• Unrestricted Text
• Information Retrieval
• PARSING AND TEXT PROCESSING
• THE ANALYSIS OF DICTIONARY DEFINITIONS
• Thomas Ahlswede
• scientific reports
• model language
• process natural language
• Business Analysis
• Study text
• Strategic position
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• Organising and enabling success
• Business process change
• BMC Cancer
• Cancer survivorship
• Machine learning
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• Sentiment analysis
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• Vietnamese Language and Speech Processing
• Systemic functional linguistics
• Multimodal discourse analysis
• Inter semiosis
• Text image relations
• Genre targeted at children
• The meating and structure
• Science fiction story
• A susysemic functinonal analysis
• The context of the chosen text
• Clauses and clause complexes analysis
• Transitivity pattern
• Lecture Theory of translation and interpreting
• Bài giảng Lý thuyết biên phiên dịch
• Theory of translation and interpreting
• Forms of translating
• The analysis of a text
• The intention of the text
• notifications and data
• sources for analysis
• Reporting and analysis
• tuberculosis cases
• mortality
• drug resistance
• báo cáo hóa học
• công trình nghiên cứu về hóa học
• tài liệu về hóa học
• cách trình bày báo cáo
• Word embedding
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• Nearest Neighbor
• Support Vector Machine
• BMC Bioinformatics
• Data mining
• Topic modeling
• Next generation sequencing
• Genetic diversity
• Information extraction
• Translational bioinformatics
• Corpus development
• Social sciences
• History genres
• Historical recount
• Attitudes in history genres
• Different distribution
• Attitudinal resources
• BMC Musculoskeletal Disorders
• Factor analysis
• Low back pain
• Repeated measures
• Risk factors
• Text messages
• Visual pain mapping
• BMC Veterinary Research
• Compassion fatigue
• Psychological wellbeing
• Team support
• Veterinary student
• Lecture Information retrieval techniques
• Bài giảng Kỹ thuật truy xuất thông tin
• Information retrieval techniques
• Link analysis
• Indexing anchor text
• Simple iterative logic