CrowdSearch: exploiting crowds for accurate real-time image search on mobile phones

Mobile phones are becoming increasingly sophisticated with a rich set of on-board sensors and ubiquitous wireless connectivity. However, the ability to fully exploit the sensing capabilities on mobile phones is stymied by limitations in multimedia processing techniques. For example, search using cellphone images often encounters high error rate due to low image quality. In this paper, we present CrowdSearch, an accurate image search system for mobile phones. CrowdSearch combines automated image search with real-time human validation of search results. Automated image search is performed using a combination of local processing on mobile phones and backend processing on remote servers. Human validation is performed using Amazon Mechanical Turk, where tens of thousands of people are actively working on simple tasks for monetary rewards. Image search with human validation presents a complex set of tradeoffs involving energy, delay, accuracy, and monetary cost. CrowdSearch addresses these ...

• Type: Conference
• Year: 2010
• Where: MOBISYS
• Authors: Tingxin Yan, Vikas Kumar, Deepak Ganesan
• Keywords: Computer Networks, Image, Image Search, Mobile Phones, MOBISYS 2010