2016/08/29 by Cristian Reyes, Reyes, Cristian, Eva Mohedano +9
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #H.3.3 #I.4.9 #Information Retrieval (cs.IR) #Visual Attention and Saliency Detection #cs.CV #cs.IR
paper · pdf · doi:10.48550/arxiv.1608.08139
Lifelogging Tools and Applications Workshop (LTA'16) at ACM Multimedia 2016
openalex publication_date 2016/08/29 · arxiv created 2017/03/02 · arxiv updated 2017/03/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
This work presents a retrieval pipeline and evaluation scheme for the problem of finding the last appearance of personal objects in a large dataset of images captured from a wearable camera. Each personal object is modelled by a small set of images that define a query for a visual search engine.The retrieved results are reranked considering the temporal timestamps of the images to increase the relevance of the later detections. Finally, a temporal interleaving of the results is introduced for robustness against false detections. The Mean Reciprocal Rank is proposed as a metric to evaluate this problem. This application could help into developing personal assistants capable of helping users when they do not remember where they left their personal belongings.