MediaTable: Interactive Categorization of Multimedia Collections

Many multimedia collections include only metadata such as date created and file size and remain largely unannotated. So, browsing them is cumbersome. Automatic content-analysis techniques yield metadata in the form of high-level content-based descriptors. However, these techniques' accuracy is insufficient to automate collection categorization. A human is essential to validate and organize automated techniques' results. MediaTable helps users efficiently categorize an image or video collection. A tabular interface gives an overview of multimedia items and associated metadata, and a bucket list lets users quickly categorize materials. MediaTable uses familiar interface techniques for sorting, filtering, selection, and visualization. Evaluations with expert and nonexpert users indicate that MediaTable supports efficient categorization and provides valuable insight into the collection.

[1]  Marcel Worring,et al.  VideOlympics: Real-Time Evaluation of Multimedia Retrieval Systems , 2008, IEEE MultiMedia.

[2]  Marcel Worring,et al.  Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Shih-Fu Chang,et al.  Visual islands: intuitive browsing of visual search results , 2008, CIVR '08.

[4]  James Ze Wang,et al.  Image retrieval: Ideas, influences, and trends of the new age , 2008, CSUR.

[5]  Benjamin B. Bederson,et al.  PhotoMesa: a zoomable image browser using quantum treemaps and bubblemaps , 2001, UIST '01.

[6]  Ramana Rao,et al.  The table lens: merging graphical and symbolic representations in an interactive focus + context visualization for tabular information , 1994, CHI '94.

[7]  Jianping Fan,et al.  Semantic Image Browser: Bridging Information Visualization with Automated Intelligent Image Analysis , 2006, 2006 IEEE Symposium On Visual Analytics Science And Technology.

[8]  John J. Bertin,et al.  The semiology of graphics , 1983 .

[9]  Rong Yan,et al.  Merging storyboard strategies and automatic retrieval for improving interactive video search , 2007, CIVR '07.

[10]  Thomas Berlage,et al.  FOCUS: the interactive table for product comparison and selection , 1996, UIST '96.

[11]  Rong Yan,et al.  Extreme video retrieval: joint maximization of human and computer performance , 2006, MM '06.

[12]  Hector Garcia-Molina,et al.  PhotoSpread: A Spreadsheet for Managing Photos , 2008, 2008 IEEE 24th International Conference on Data Engineering.

[13]  Rong Yan,et al.  An efficient manual image annotation approach based on tagging and browsing , 2007, MS '07.

[14]  Marcel Worring,et al.  Concept-Based Video Retrieval , 2009, Found. Trends Inf. Retr..