Efficient Semantic Video Annotation by Object and Shot Re-Detection
نویسندگان
چکیده
Manual video annotation on shot and on object level is a very time consuming and therefore cost intensive task. Automatic object and shot re-detection is one step forward in order to provide a cost efficient solution for temporally detailed video annotation. In this demonstration a tool will be shown which integrates novel video visualisation, navigation and interactive object re-detection techniques. Automatically re-detected objects and shots can be annotated by reusing operator annotations in a semi-automatic way. Object and shot re-detection capabilities are demonstrated on a variety of content, e.g. anchor person redetection in news content and setting and re-take detection in rushes content.
منابع مشابه
Fine-granularity semantic video annotation: An approach based on automatic shot level concept detection and object recognition
Purpose – A fine-grained video content indexing, retrieval, and adaptation requires accurate metadata describing the video structure and semantics to the lowest granularity, i.e. to the object level. The authors address these requirements by proposing semantic video content annotation tool (SVCAT) for structural and high-level semantic video annotation. SVCAT is a semi-automatic MPEG-7 standard...
متن کاملMultimedia Content Understanding : Bringing Context to Content
In this paper, we propose a framework to extendsemantic labeling of images to video shot sequences and achieveefficient and semantic-aware spatiotemporal video segmentation.This task faces two major challenges, namely the temporal vari-ations within a video sequence which affect image segmentationand labeling, and the computational cost of region labeling.Guided by these...
متن کاملA Formal Study of Video Segmentation
Video scene segmentation is the first step towards automatic video annotation. For efficient video indexing and retrieval first step is to divide the video into shots and then classify the similar shots into scenes. In this paper we have discussed some existing algorithms for shot boundary detection, key frame extraction and classification of similar shots into scenes. The task of video segment...
متن کاملSemantic Video Analysis
OVERVIEW The objective of this component is to index videos based on semantic mid to high-level features. To achieve this, the component integrates different modules for video processing. As shown in the diagram, the component integrates the following components in order to extract the embedded semantics from the video: shot boundary detection for categorising shots with similar attributes; key...
متن کاملTemporal Video Segmentation Using Unsupervised
This paper proposes a content-based temporal video segmentation system that integrates syntactic (domain-independent) and semantic (domain-dependent) features for automatic management of video data. Temporal video segmentation includes scene change detection and shot classiication. The proposed scene change detection method consists of two steps: detection and tracking of semantic objects of in...
متن کامل