A New Tool for Collaborative Video Search via Content-based Retrieval and Visual Inspection

被引：1
|
作者：
Hurst, Wolfgang [1 ]
Ching, Algernon Ip Vai [1 ]
Hudelist, Marco A. [2 ]
Primus, Manfred J. [2 ]
Schoeffmann, Klaus [2 ]
Beecks, Christian [3 ]
机构：
[1] Univ Utrecht, Utrecht, Netherlands
[2] Klagenfurt Univ, Klagenfurt, Austria
[3] Rhein Westfal TH Aachen, Aachen, Germany
来源：
MM'16: PROCEEDINGS OF THE 2016 ACM MULTIMEDIA CONFERENCE | 2016年
关键词：
Video retrieval; feature signatures; collaborative search; human-computer interaction;
D O I：
10.1145/2964284.2973824
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present a new approach for collaborative video search and video browsing relying on a combination of traditional, index-based video retrieval complemented with large-scale human-based visual inspection. In particular, a traditional PC interface is used for query-based search using advanced indexing and querying methods (e.g., concept search), whereas a visualization of the database on a tablet is used for pure human-based browsing. Both parts are coupled to compensate for mutual disadvantages; human visual inspection allows for a better, more detailed analysis of the data - also bridging the semantic gap - but comes at the price of an unfiltered database - a disadvantage that is resolved by using the results from the query engine to change visualization order.
引用
收藏
页码：731 / 732
页数：2
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