Wireless integrated network sensors
Communications of the ACM
Overcoming the Lack of Screen Space on Mobile Computers
Personal and Ubiquitous Computing
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
QCluster: relevance feedback using adaptive clustering for content-based image retrieval
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Emerging Topics in Computer Vision
Emerging Topics in Computer Vision
From context to content: leveraging context to infer media metadata
Proceedings of the 12th annual ACM international conference on Multimedia
Multimodal concept-dependent active learning for image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
MobShare: controlled and immediate sharing of mobile images
Proceedings of the 12th annual ACM international conference on Multimedia
mCLOVER: mobile content-based leaf image retrieval system
Proceedings of the 13th annual ACM international conference on Multimedia
SEVA: sensor-enhanced video annotation
Proceedings of the 13th annual ACM international conference on Multimedia
MobiCon: integrated capture, annotation, and sharing of video clips with mobile phones
Proceedings of the 13th annual ACM international conference on Multimedia
Client-side content-based refinement for image search in the web
WebMedia '05 Proceedings of the 11th Brazilian Symposium on Multimedia and the web
Personal vs. commercial content: the similarities between consumer use of photos and music
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A Unified Log-Based Relevance Feedback Scheme for Image Retrieval
IEEE Transactions on Knowledge and Data Engineering
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Context-aware interactive content adaptation
Proceedings of the 4th international conference on Mobile systems, applications and services
Photo-to-Search: Using Camera Phones to Inquire of the Surrounding World
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
Probabilistic semantic network-based image retrieval using MMM and relevance feedback
Multimedia Tools and Applications
Mixed-initiative multimedia for mobile devices: a voting-based user interface for news videos
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Locally adaptive subspace and similarity metric learning for visual data clustering and retrieval
Computer Vision and Image Understanding
A human-centered multiple instance learning framework for semantic video retrieval
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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During the last decade, high quality i.e. over 1 megapixel built-in cameras have become standard features of handheld devices. Users can take high-resolution pictures and share with friends via the internet. At the same time, the demand of multimedia information retrieval using those pictures on mobile devices has become an urgent problem to solve, and therefore attracts attention. A relevance feedback information retrieval process includes several rounds of query refinement, which incurs exchange of images between the mobile device and the server. With limited wireless bandwidth, this process can incur substantial delay, making the system unfriendly to use. This issue is addressed by considering a Client-side Relevance Feedback CRF technique. In the CRF system, Relevance Feedback RF is done on client side along. Mobile devices' battery power is saved from exchanging images between server and client and system response is instantaneous, which significantly enhances system usability. Furthermore, because the server is not involved in RF processing, it is able to support more users simultaneously. The experiment indicates that the system outperforms the traditional server-client relevance feedback systems on the aspects of system response time, mobile battery power saving, and retrieval result.