Abstract: According to the problem of lack of the annotation data in still image activity recognition research,under the Android platform,a visual activity manual annotation system based on still images was designed and developed with the idea of “crowd-sourcing”.The system mainly includes the functions of assigning annotation tasks,annotating image information,reviewing annotation information and examining historical annotation information.For the annotation information with high evaluation scores,the web crawler technology is used to extract the auxiliary text labels of the image,and the annotation information is converted into word embedding storage for the convenience of later experimental research.Meanwhile,the system applies a task assignment algorithm based on pricing mechanism,which effectively improves the efficiency of user image annotation.The application of the actual deployment system shows that the operation is simple and smooth,the function modules of each algorithm are stable and efficient,and the advantages of mobile terminals are fully utilized to collect and organize the data of image activity annotation.

Key words: Android, Crowdsourcing, Image activity annotation, Web crawler, Word embedding