中文摘要：

聪明的电话上的个人相片访问由于在日常生活拍摄的大量相片是为用户的一项普通还不安的任务。由人的记忆和它的自然召回特征启发了，我们造一个个人相片访问工具， PhotoPrev，便于用户通过联系记忆暗示重游以前的相片。模仿用户阵发性的记忆召回，我们在场自动地产生许多的一个方法联系了上下文的元数据(例如，天气，温度) 并且在一个生命周期为每张相片作为上下文格子组织他们。同时，相片内容(例如，对象，文本) 被提取并且在一张加权的术语表设法，它对应于语义存储器。一个阀值算法为基于上下文、基于内容的关键词搜索把相片访问框架基于一个个人相片集合，和用户反馈机制，也被给。我们由从 Flickr，和学习表明的一个 12 星期的用户爬用户相片在大合成数据集上评估可伸缩性我们的相片访问策略的可行性和有效性。

英文摘要：

Personal photo revisitation on smart phones is a common yet uneasy task for users due to the large volume of photos taken in daily life. Inspired by the human memory and its natural recall characteristics, we build a personal photo revisitation tool, PhotoPrev, to facilitate users to revisit previous photos through associated memory cues. To mimic users＇ episodic memory recall, we present a way to automatically generate an abundance of related contextual metadata （e.g., weather, temperature） and organize them as context lattices for each photo in a life cycle. Meanwhile, photo content （e.g., object, text） is extracted and managed in a weighted term list, which corresponds to semantic memory. A threshold algorithm based photo revisitation framework for context- and content-based keyword search on a personal photo collection, together with a user feedback mechanism, is also given. We evaluate the scalability on a large synthetic dataset by crawling users＇ photos from Flickr, and a 12-week user study demonstrates the feasibility and effectiveness of our photo revisitation strategies.