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The singer's information is essential in organizing, browsing and retrieving music collections. In this paper, a system for automatic singer identification is developed which recognizes the singer of a song by analyzing the music signal. Meanwhile, songs which are similar in terms of singer's voice are clustered. The proposed scheme follows the framework of(More)
video abstraction, video skimming, video summarization The fast evolution of digital video has brought many new applications. Consequently, research and development of new technologies are greatly needed which will lower the costs of video archiving, cataloging and indexing, as well as improve the efficiency and accessibility of stored videos. Among all(More)
H.264/AVC is the newest block based video coding standard from MPEG and VCEG. It not only provides superior and efficient video coding at various bit rates, it also has a " network-friendly " representation thanks to a series of new techniques which provide error robustness. Flexible Macroblock Ordering (FMO) is one of the new error resilience tools(More)
Automatic clothes search in consumer photos is not a trivial problem as photos are usually taken under completely uncontrolled realistic imaging conditions. In this paper, a novel framework is presented to tackle this issue by leveraging low-level features (e.g., color) and high-level features (attributes) of clothes. First, a content-based image(More)
Photo or video mosaicing have drawn a lot of interests in the research field in the past years. Most of the existing work, however, focuses on how to match the images or video frames. This paper presents techniques to handle some practical issues when generating panorama photos. We have found from the experiments that a simple translational motion model(More)
People are often the most important subjects in photos, and the ability of finding photos of a particular person easily and quickly in an image collection is highly desired. In this paper, we present a face clustering system which automatically groups photos into clusters, with each cluster containing photos of the same person. This is done based on an(More)
In this paper, we propose an approach to automatically estimate relationship among people in a family image collection based on results from face analyses technologies including automated face recognition and clustering, demographic assessment, and face similarity measurement, as well as contextual information such as people co-appearance, people's relative(More)