Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Image Retrieval from the World Wide Web: Issues, Techniques, and Systems
ACM Computing Surveys (CSUR)
Naming every individual in news video monologues
Proceedings of the 12th annual ACM international conference on Multimedia
Words and pictures in the news
HLT-NAACL-LWM '04 Proceedings of the HLT-NAACL 2003 workshop on Learning word meaning from non-linguistic data - Volume 6
A Graph Based Approach for Naming Faces in News Photos
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Clustering and searching WWW images using link and page layout analysis
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Image retrieval on large-scale image databases
Proceedings of the 6th ACM international conference on Image and video retrieval
Learning people annotation from the web via consistency learning
Proceedings of the international workshop on Workshop on multimedia information retrieval
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Associating Faces and Names in Japanese Photo News Articles on the Web
AINAW '08 Proceedings of the 22nd International Conference on Advanced Information Networking and Applications - Workshops
Naming faces in broadcast news video by image google
MM '08 Proceedings of the 16th ACM international conference on Multimedia
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
| Hi-index | 0.00 |
A large portion of news articles contains images of persons whose names appear in the news stories. To provide image search of persons, most search engines construct an index from textual descriptions (such as headline and caption) of images. The index search approach, although very simple and scalable, has one serious drawback. A query of a person name could match some news articles which do not contain images of the target person. Therefore, some irrelevant images could be returned as search results. Our main goal is to improve the performance of the index search approach based on the syntactic analysis of person name entities in the news articles. Given sentences containing person names, we construct a set of syntactic rules for identifying persons in news images. The set of syntactic rules is used to filter out images of non-target persons from the results returned by the index search. From the experimental results, our approach improved the performance over the basic index search by 10% based on the F1-measure.