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Displaying 1-17 out of 17 total
Intelligent Multimedia Recommender by Integrating Annotation and Association Mining
Found in: Sensor Networks, Ubiquitous, and Trustworthy Computing, International Conference on
By Vincent S. Tseng, Ja-Hwung Su, Bo-Wen Wang, Chin-Yuan Hsiao, Jay Huang, Hsin-Ho Yeh
Issue Date:June 2008
pp. 492-499
Making a decision among a set of items from compound and complex information has been becoming a difficult task for common users. Collaborative filtering has been the mainstay of automatically personalized search employed in contemporary recommender system...
Effective Video Annotation by Mining Visual Features and Speech Features
Found in: Intelligent Information Hiding and Multimedia Signal Processing, International Conference on
By Vincent. S. Tseng, Ja-Hwung Su, Chih-Jen Chen
Issue Date:November 2007
pp. 202-205
In the area of multimedia processing, a number of studies have been devoted to narrowing the gap between multimedia content and human sense. In fact, multimedia understanding is a difficult and challenging task even using machine-learning techniques. To de...
Ontology-Based Semantic Web Image Retrieval by Utilizing Textual and Visual Annotations
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Ja-Hwung Su, Bo-Wen Wang, Hsin-Ho Yeh, Vincent S. Tseng
Issue Date:September 2009
pp. 425-428
The goal of traditional visual or textual-based image retrieval is to satisfy user’s queries by associating the images and semantic concepts effectively. As a result, perceptual structures of images have attracted researchers’ attention in recent studies. ...
Music Recommendation Using Content and Context Information Mining
Found in: IEEE Intelligent Systems
By Ja-Hwung Su, Hsin-Ho Yeh, Philip S. Yu, Vincent S. Tseng
Issue Date:January 2010
pp. 16-26
<p>To offer music recommendations that suit the listener and the situation, uMender mines context information and musical content and then considers relevant user ratings.</p>
Efficient pattern-based conceptual image retrieval
Found in: 2012 IEEE International Conference on Granular Computing (GrC-2012)
By Ja-Hwung Su,Chun-Yi Kuo,Vincent S. Tseng
Issue Date:August 2012
pp. 441-446
Actually, text-based image retrieval is a method to retrieve the user's interested images semantically, but there still exist some problems in it such as high-priced manual annotation cost. To avoid the problems in text-based image retrieval, a considerabl...
Semantic Video Retrieval by Integrating Concept- and Content-Aware Mining
Found in: Technologies and Applications of Artificial Intelligence, International Conference on
By Bo-Wen Wang,Ja-Hwung Su,Chien-Li Chou,Vincent S. Tseng
Issue Date:November 2011
pp. 32-37
Video retrieval has been a hot topic due to the prevalence of video capturing devices and media-sharing services such as YouTube. Until now, few past studies has focused on querying the videos by images due to the semantic gap between images and videos is ...
Photosense: Make sense of your photos with enriched harmonic music via emotion association
Found in: Multimedia and Expo, IEEE International Conference on
By Ja-Hwung Su, Ming-Hua Hsieh, Tao Mei,Vincent S. Tseng
Issue Date:July 2011
pp. 1-6
This paper proposes a novel audiovisual presentation system, called PhotoSense, to enrich photo navigation experience by associating emotionally harmonic music with a given photo collection. Different from many conventional photo visualization systems whic...
Efficient Relevance Feedback for Content-Based Image Retrieval by Mining User Navigation Patterns
Found in: IEEE Transactions on Knowledge and Data Engineering
By Ja-Hwung Su, Wei-Jyun Huang, Philip S. Yu, Vincent S. Tseng
Issue Date:March 2011
pp. 360-372
Nowadays, content-based image retrieval (CBIR) is the mainstay of image retrieval systems. To be more profitable, relevance feedback techniques were incorporated into CBIR such that more precise results can be obtained by taking user's feedbacks into accou...
Effective image semantic annotation by discovering visual-concept associations from image-concept distribution model
Found in: Multimedia and Expo, IEEE International Conference on
By Ja-Hwung Su, Chien-Li Chou, Ching-Yung Lin, Vincent S. Tseng
Issue Date:July 2010
pp. 42-47
Up to the present, the contemporary studies are not really successful in image annotation due to some critical problems like diverse regularities between visual features and human concepts. Such diverse regularities make it hard to annotate the image seman...
Effective Ranking and Recommendation on Web Page Retrieval by Integrating Association Mining and PageRank
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Ja-Hwung Su, Bo-Wen Wang, Vincent S. Tseng
Issue Date:December 2008
pp. 455-458
Nowadays, the well-known search engines, such as Google, Yahoo, MSN, etc, have provided the users with good search results based on special search strategies. However there still exist some problems unsolved for traditional search engines, including: 1) th...
A New Method for Image Classification by Using Multilevel Association Rules
Found in: Data Engineering Workshops, 22nd International Conference on
By Vincent S. Tseng, Ming-Hsiang Wang, Ja-Hwung Su
Issue Date:April 2005
pp. 1180
With the popularity of multimedia applications, the huge amount of image and video related to real life have led to the proliferation of emerging storage techniques. Contented-based image retrieval and classification have become attractive issues in the la...
CBW: An Efficient Algorithm for Frequent Itemset Mining
Found in: Hawaii International Conference on System Sciences
By Ja-Hwung Su, Wen-Yang Lin
Issue Date:January 2004
pp. 30064c
Frequent itemset generation is the prerequisite and most time-consuming process for association rule mining. Nowadays, most efficient Apriori-like algorithms rely heavily on the minimum support constraint to prune a vast amount of non-candidate itemsets. T...
A Novel Recommendation Method Based on Rough Set and Integrated Feature Mining
Found in: Innovative Computing ,Information and Control, International Conference on
By Vincent S. Tseng, Ja-Hwung Su, Bo-Wen Wang, Chin-Yuan Hsiao
Issue Date:June 2008
pp. 330
The explosive growth of information makes people confused in making a choice among a huge amount of products, like movies, books, etc. To help people clarify what they want easily, in this study, we present an intelligent recommendation approach named RSCF...
High-performance content-based image retrieval using DFS strategy
Found in: 2013 IEEE International Conference on Granular Computing (GrC)
By Ja-Hwung Su,Chung-Chieh Hsu,Josh Jia-Ching Ying
Issue Date:December 2013
pp. 270-275
Image data is becoming more and more popular due to the prevalence of image capture devices. How to retrieve the images effectively and efficiently from a large number of images has been a challenging issue in recent years. To deal with such issue, the maj...
Efficient content-based video retrieval by mining temporal patterns
Found in: Proceedings of the 9th International Workshop on Multimedia Data Mining: held in conjunction with the ACM SIGKDD 2008 (MDM '08)
By Ja-Hwung Su, Vincent S. Tseng, Yu-Ting Huang
Issue Date:August 2008
pp. 36-42
In recent years, multimedia content processing has become a hot topic with the rapid development of information technology and popularity of World Wide Web. Among the emerging research topics, content-based video retrieval is an attractive and challenging ...
Web image annotation by fusing visual features and textual information
Found in: Proceedings of the 2007 ACM symposium on Applied computing (SAC '07)
By Bo-Wen Wang, Ja-Hwung Su, Vincent. S. Tseng, Yu-Ming Lin
Issue Date:March 2007
pp. 1056-1060
In this paper, we propose a novel web image annotation method, namely FMD (Fused annotation by Mixed model graph and Decision tree), which combines visual features and textual information to conceptualize the web images. The FMD approach consists of three ...
Classify By Representative Or Associations (CBROA): a hybrid approach for image classification
Found in: Proceedings of the 6th international workshop on Multimedia data mining: mining integrated media and complex data (MDM '05)
By Chon-Jei Lee, Ja-Hwung Su, Vincent S. Tseng
Issue Date:August 2005
pp. 61-69
Image classification has been an interesting research issue in multimedia content analysis due to the wide applications. In this paper, we observe that images can be classified (or annotated) in two ways: i) Classify by some main object, ii) Classify by mu...