EasyAlbum Demo

This demo version of EasyAlbum is for testing only. It is important to understand that this demo version will not reflect the stability of a shipped Microsoft product.

WARNING: This computer program is protected by copyright law and international treaties. Unauthorized duplication or distribution of this program, or any portion of it, may result in severe civil or criminal penalties, and will be prosecuted to the maximum extent possible under the law.

Key features:

  1. Detection.

    Automatically detect faces of photos. This is the basis of other features such as face clustering, content based searching, browsing according to people count and region of interest (ROI) detection.

  2. Clustering.

    Clustering annotation is one of key features of EasyAlbum. It is proposed to avoid tagging faces/photos one by one. Through clustering, we are trying to group faces/photos that should have the same label, thus we can tag a group of faces/photos in one operation.

  3. Re-ranking.

    Re-ranking includes inter-cluster re-ranking and intra-cluster re-ranking. The basic idea of this feature is to put similar faces/clusters as close as possible, to further reduce the mouse movement distance in the tagging process.

  4. Search.

    Several semantic features are proposed for the content based search. Given a query photo image, for example, one can search photos that contain similar face, similar cloth colors, or the same people count.

  5. Collage.

    Based on the salient region detection, collage technology gives a compact and pleasant presentation of selected photos.

Related publications:

  1. Jingyu Cui, Fang Wen, Rong Xiao, and Xiaoou Tang. EasyAlbum: An Interactive Photo Annotation System Based on Face Clustering and Re-ranking. ACM's Special Interest Group on Computer-Human Interaction (ACM SIGCHI) 2007.
  2. Yuandong Tian, Wei Liu, Rong Xiao, Fang Wen, and Xiaoou Tang. A Face Annotation Framework with Partial Clustering and Interactive Labeling. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2007.
  3. Jingdong Wang, Jian Sun, Long Quan, Xiaoou Tang, and Heung Yeung Shum. Picture Collage. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2006.
  4. Xiaogang Wang and Xiaoou Tang, A unified framework for subspace face recognition. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI) Vol. 26, No. 9, 1222-1228, Sep. 2004.

Download:

In addition to the prototype of EasyAlbum, we also provide a small sample album for the case that you wouldn’t want to start from your own album. The album contains 221 photos.

Download EasyAlbum Installation Package

Download EasyAlbum Sample Album (Small Version)

System Requirements:

Install/Uninstall:

Please run "setup.exe" for installation.

Please contact fangwen@microsoft.com for any issues. You feedbacks are very important to us.