| TRAVELOGUE ENRICHING AND SCENIC SPOT OVERVIEW BASED ON TEXTUAL AND VISUAL TOPIC MODELS | |
Pang, Yanwei2; Lu, Xin2; Yuan, Yuan1 ; Li, Xuelong1
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| Department | 光学影像分析与学习中心 |
| 2011-05-01 | |
| Source Publication | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
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| ISSN | 0218-0014 |
| Volume | 25Issue:3Pages:373-390 |
| Abstract | We consider the problem of enriching the travelogue associated with a small number (even one) of images with more web images. Images associated with the travelogue always consist of the content and the style of textual information. Relying on this assumption, in this paper, we present a framework of travelogue enriching, exploiting both textual and visual information generated by different users. The framework aims to select the most relevant images from automatically collected candidate image set to enrich the given travelogue, and form a comprehensive overview of the scenic spot. To do these, we propose to build two-layer probabilistic models, i.e. a text-layer model and image-layer models, on offline collected travelogues and images. Each topic (e.g. Sea, Mountain, Historical Sites) in the text-layer model is followed by an image-layer model with sub-topics learnt (e.g. the topic of sea is with the sub-topic like beach, tree, sunrise and sunset). Based on the model, we develop strategies to enrich travelogues in the following steps: (1) remove noisy names of scenic spots from travelogues; (2) generate queries to automatically gather candidate image set; (3) select images to enrich the travelogue; and (4) choose images to portray the visual content of a scenic spot. Experimental results on Chinese travelogues demonstrate the potential of the proposed approach on tasks of travelogue enrichment and the corresponding scenic spot illustration. |
| Subtype | Article |
| Keyword | Image Retrieval Probabilistic Model Text Mining Travelogue User-generated Content |
| Subject Area | Computer Science |
| WOS Headings | Science & Technology ; Technology |
| DOI | 10.1142/S0218001411008671 |
| Indexed By | SCI ; EI |
| WOS Keyword | IMAGE RETRIEVAL ; SUBSPACE |
| Language | 英语 |
| WOS Research Area | Computer Science |
| WOS Subject | Computer Science, Artificial Intelligence |
| WOS ID | WOS:000291002600003 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.opt.ac.cn/handle/181661/10577 |
| Collection | 光学影像学习与分析中心 |
| Affiliation | 1.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mechan, Xian 710119, Shaanxi, Peoples R China 2.Tianjin Univ, Sch Elect Informat Engn, Tianjin 300072, Peoples R China |
| Recommended Citation GB/T 7714 | Pang, Yanwei,Lu, Xin,Yuan, Yuan,et al. TRAVELOGUE ENRICHING AND SCENIC SPOT OVERVIEW BASED ON TEXTUAL AND VISUAL TOPIC MODELS[J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,2011,25(3):373-390. |
| APA | Pang, Yanwei,Lu, Xin,Yuan, Yuan,&Li, Xuelong.(2011).TRAVELOGUE ENRICHING AND SCENIC SPOT OVERVIEW BASED ON TEXTUAL AND VISUAL TOPIC MODELS.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,25(3),373-390. |
| MLA | Pang, Yanwei,et al."TRAVELOGUE ENRICHING AND SCENIC SPOT OVERVIEW BASED ON TEXTUAL AND VISUAL TOPIC MODELS".INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 25.3(2011):373-390. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Travelogue Enriching（1506KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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