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Displaying 1-11 out of 11 total
Scalable Mobile Video Retrieval with Sparse Projection Learning and Pseudo Label Mining
Found in: IEEE MultiMedia
By Guan-Long Wu,Yin-Hsi Kuo,Tzu-Hsuan Chiu,Winston H. Hsu,Lexing Xie
Issue Date:July 2013
pp. 47-57
Retrieving relevant videos from a large corpus on mobile devices is a vital challenge. This article addresses two key issues for mobile search on user-generated videos. The first is the lack of good relevance measurement for learning semantically rich repr...
 
Unsupervised auxiliary visual words discovery for large-scale image object retrieval
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Yin-Hsi Kuo, Hsuan-Tien Lin, Wen-Huang Cheng, Yi-Hsuan Yang,W. H. Hsu
Issue Date:June 2011
pp. 905-912
Image object retrieval-locating image occurrences of specific objects in large-scale image collections-is essential for manipulating the sheer amount of photos. Current solutions, mostly based on bags-of-words model, suffer from low recall rate and do not ...
 
Search-based relevance association with auxiliary contextual cues
Found in: Proceedings of the 21st ACM international conference on Multimedia (MM '13)
By Chun-Che Wu, Wen-Yu Lee, Winston H. Hsu, Yan-Ying Chen, Yin-Hsi Kuo, Kuan-Yu Chu
Issue Date:October 2013
pp. 393-396
In this work, we target at solving the Bing challenge provided by Microsoft. The task is to design an effective and efficient measurement of query terms in describing the images (image-query pairs) crawled from the web. We observe that the provided image-q...
     
Real-time privacy-preserving moving object detection in the cloud
Found in: Proceedings of the 21st ACM international conference on Multimedia (MM '13)
By Kuan-Yu Chu, Yin-Hsi Kuo, Winston H. Hsu
Issue Date:October 2013
pp. 597-600
With the advance of cloud computing, growing applications have been migrating to the cloud for its robustness and scalability. However, sending raw data to the cloud-based service providers will generally risk our privacy; especially for cloud-based survei...
     
City-view image retrieval leveraging check-in data
Found in: Proceedings of the 2nd ACM international workshop on Geotagging and its applications in multimedia (GeoMM '13)
By Wen-Yu Lee, Winston H Hsu, Yin-Hsi Kuo
Issue Date:October 2013
pp. 13-18
"What is this" and "where am I" are two of the most common questions that arise when people travel abroad. Recently, landmark image retrieval has shown great promise for the addressed problem, where most common approaches are either visual-based or locatio...
     
Augmenting mobile city-view image retrieval with context-rich user-contributed photos
Found in: Proceedings of the 19th ACM international conference on Multimedia (MM '11)
By Wen-Huang Cheng, Wen-Yu Lee, Winston H. Hsu, Yin-Hsi Kuo
Issue Date:November 2011
pp. 687-690
With the growth of mobile devices, the needs for location-based services are emerging. Taking the advantage of the GPS information, we can roughly estimate a user's location. However, it is necessary to leverage extra information (e.g., photos) to precisel...
     
Semi-supervised face image retrieval using sparse coding with identity constraint
Found in: Proceedings of the 19th ACM international conference on Multimedia (MM '11)
By Bor-Chun Chen, Kuan-Yu Chu, Winston Hsu, Yan-Ying Chen, Yin-Hsi Kuo
Issue Date:November 2011
pp. 1369-1372
We aim to develop a scalable face image retrieval system which can integrate with partial identity information to improve the retrieval result. To achieve this goal, we first apply sparse coding on local features extracted from face images combining with i...
     
Multiple object localization by context-aware adaptive window search and search-based object recognition
Found in: Proceedings of the 19th ACM international conference on Multimedia (MM '11)
By Fang-Erh Lin, Winston H. Hsu, Yin-Hsi Kuo
Issue Date:November 2011
pp. 1021-1024
Multiple object localization and recognition has been an important problem in recent years not only because of its difficulty to be time efficient but also due to many different schemes of widespread applications. In many previous works, only a limited amo...
     
A technical demonstration of large-scale image object retrieval by efficient query evaluation and effective auxiliary visual feature discovery
Found in: Proceedings of the international conference on Multimedia (MM '10)
By Kuan-Ting Chen, Tzu-Hsuan Chiu, Winston H. Hsu, Yi-Hsuan Yang, Yi-Lun Wu, Yin-Hsi Kuo
Issue Date:October 2010
pp. 1559-1562
In this demonstration, we present a real-time system that addresses three essential issues of large-scale image object retrieval: 1) image object retrieval-facilitating pseudo-objects in inverted indexing and novel object-level pseudo-relevance feedback fo...
     
GPS, compass, or camera?: investigating effective mobile sensors for automatic search-based image annotation
Found in: Proceedings of the international conference on Multimedia (MM '10)
By An-Jung Cheng, Fang-Erh Lin, Winston H. Hsu, Yin-Hsi Kuo
Issue Date:October 2010
pp. 815-818
Recently, more and more types of sensors are being equipped on the smart phones, which provide different aspects into conside-ration. When a user takes a photo, the information it provides like the image content, the location and even the direction the use...
     
Query expansion for hash-based image object retrieval
Found in: Proceedings of the seventeen ACM international conference on Multimedia (MM '09)
By Chien-Hsing Chiang, Kuan-Ting Chen, Winston H. Hsu, Yin-Hsi Kuo
Issue Date:October 2009
pp. 65-74
An efficient indexing method is essential for content-based image retrieval with the exponential growth in large-scale videos and photos. Recently, hash-based methods (e.g., locality sensitive hashing - LSH) have been shown efficient for similarity search....
     
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