PoseShop: human image database construction and personalized content synthesis.
We present PoseShop--a pipeline to construct segmented human image database with minimal manual intervention. By downloading, analyzing, and filtering massive amounts of human images from the Internet, we achieve a database which contains 400 thousands human figures that are segmented out of their background. The human figures are organized based on action semantic, clothes attributes, and indexed by the shape of their poses. They can be queried using either silhouette sketch or a skeleton to find a given pose. We demonstrate applications for this database for multiframe personalized content synthesis in the form of comic-strips, where the main character is the user or his/her friends. We address the two challenges of such synthesis, namely personalization and consistency over a set of frames, by introducing head swapping and clothes swapping techniques. We also demonstrate an action correlation analysis application to show the usefulness of the database for vision application.
TNList, Department of Computer Science, Tsinghua University, FIT Building, Beijing 100084, China. chent@cg.cs.tsinghua.edu.cn
Tao
T
Chen
Ping
P
Tan
Li-Qian
LQ
Ma
Ming-Ming
MM
Cheng
Ariel
A
Shamir
Shi-Min
SM
Hu
D000465:Algorithms; D003196:Computer Graphics; D003628:Database Management Systems; D016208:Databases, Factual; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D011187:Posture / Q000502:physiology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014584:User-Computer Interface; D051598:Whole Body Imaging / Q000379:methods*