{"id":554319,"date":"2018-11-29T11:01:13","date_gmt":"2018-11-29T19:01:13","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/?post_type=msr-research-item&p=554319"},"modified":"2018-11-29T11:02:19","modified_gmt":"2018-11-29T19:02:19","slug":"image-search-from-thousands-to-billions-in-20-years","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/image-search-from-thousands-to-billions-in-20-years\/","title":{"rendered":"Image Search — From Thousands to Billions in 20 Years"},"content":{"rendered":"

This article presents a comprehensive review and analysis on image search in the past 20 years, emphasizing the challenges\u00a0and opportunities brought by the astonishing increase of dataset scales from thousands to billions in the same time period,\u00a0which was witnessed first-hand by the authors as active participants in this research area. Starting with a retrospective review\u00a0of three stages of image search in the history, the article highlights major breakthroughs around the year 2000 in image search\u00a0features, indexing methods, and commercial systems, which marked the transition from stage two to stage three. Subsequent\u00a0sections describe the image search research from four important aspects: system framework, feature extraction and image\u00a0representation, indexing, and big data\u2019s potential. Based on the review, the concluding section discusses open research challenges\u00a0and suggests future research directions in effective visual representation, image knowledge base construction, implicit user\u00a0feedback and crowdsourcing, mobile image search, and creative multimedia interfaces.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

This article presents a comprehensive review and analysis on image search in the past 20 years, emphasizing the challenges\u00a0and opportunities brought by the astonishing increase of dataset scales from thousands to billions in the same time period,\u00a0which was witnessed first-hand by the authors as active participants in this research area. Starting with a retrospective review\u00a0of […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"Lei Zhang","user_id":"32641"},{"type":"user_nicename","value":"Yong Rui","user_id":"35040"}],"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"1s","msr_journal":"ACM Transactions on Multimedia Computing, Communications, and Applications 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