A fully automated content-based video search engine supporting spatiotemporal queries

@article{Chang1998AFA,
  title={A fully automated content-based video search engine supporting spatiotemporal queries},
  author={Shih-Fu Chang and William Chen and Horace J. Meng and H. Sundaram and Di Zhong},
  journal={IEEE Trans. Circuits Syst. Video Technol.},
  year={1998},
  volume={8},
  pages={602-615}
}
The rapidity with which digital information, particularly video, is being generated has necessitated the development of tools for efficient search of these media. Content-based visual queries have been primarily focused on still image retrieval. In this paper, we propose a novel, interactive system on the Web, based on the visual paradigm, with spatiotemporal attributes playing a key role in video retrieval. We have developed innovative algorithms for automated video object segmentation and… Expand
VideoQ: a fully automated video retrieval system using motion sketches
TLDR
VideoQ, a novel interactive system on the Web, based on the visual paradigm, with spatio-temporal attributes playing a key role in video retrieval, is proposed, which is the first on-line video search engine supporting automatic object based indexing and spatio -temporal queries. Expand
Models for motion-based video indexing and retrieval
TLDR
A prototype video search engine, PICTURESQUE (pictorial information and content transformation unified retrieval engine for spatiotemporal queries) is developed and models that use the object motion information in order to characterize the events to allow subsequent retrieval are presented. Expand
Content-Based Video Retrieval
  • M. Petkovic
  • Computer Science
  • The Springer International Series in Engineering and Computer Science
  • 2004
TLDR
The need for tools that can manipulate the video content in the same way as traditional databases manage numeric and textual data is significant. Expand
Content-based video retrieval 0
  • 2007
Recent advances in multimedia technologies allow the capture and storage of video data with relatively inexpensive computers. Furthermore, the new possibilities offered by the information highwaysExpand
Video Object Retrieval using Color Features
TLDR
This study proposes a content-based video object retrieval system to retrieve both moving and stationary objects, and shows that the proposed method can efficiently index the similar regions from the test videos. Expand
A distributed Content-Based Video Retrieval system for large datasets
TLDR
A CBVR system providing similar videos from a large multimedia dataset based on query video has been proposed that uses vector motion-based signatures to describe the visual content and uses machine learning techniques to extract key frames for rapid browsing and efficient video indexing. Expand
Video retrieval based on the object's motion trajectory
TLDR
An efficient way of indexing and searching based on object-specific feature for video retrieval at different semantic levels is presented and a temporal event graph is implemented for direct accessing and browsing a specific event in the video sequence. Expand
A Survey on Visual Content-Based Video Indexing and Retrieval
TLDR
Methods for video structure analysis, including shot boundary detection, key frame extraction and scene segmentation, extraction of features including static key frame features, object features and motion features, video data mining, video annotation, and video retrieval including query interfaces are analyzed. Expand
AN ENHANCED CONTENT-BASED VIDEO RETRIEVAL SYSTEM BASED ON QUERY CLIP
Content-based search and retrieval of video data has become a challenging and important issue. Video contains several types of audio and visual information which are difficult to extract, combine orExpand
Semantic-Based Surveillance Video Retrieval
TLDR
A hierarchical structure of semantic indexing and retrieval of object activities, where each individual activity automatically inherits all the semantic descriptions of the activity model to which it belongs, is proposed for accessing video clips and individual objects at the semantic level. Expand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 55 REFERENCES
Virage video engine
TLDR
This paper presents the use of the VVE framework for content based video retrieval, a flexible platform independent architecture which provides support for processing multiple synchronized data streams like image sequences, audio and closed captions. Expand
Video object model and segmentation for content-based video indexing
  • D. Zhong, Shih-Fu Chang
  • Computer Science
  • Proceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97
  • 1997
TLDR
The schema provides a general framework for video object extraction, indexing, and classification and presents new video segmentation and tracking algorithms based on salient color and affine motion features. Expand
Query by Image and Video Content: The QBIC System
TLDR
The QBIC system is described and its query capabilities are demonstrated, which allows queries on large image and video databases based on example images, user-constructed sketches and drawings, selected color and texture patterns, camera and object motion, and other graphical information. Expand
Rx for semantic video database retrieval
TLDR
By describing motion derived from motion analysis, this work introduces a dual hierarchy consisting of spatial and temporal parts for video sequence representation, which gives the flexibility to examine arbitrary frames at various levels of abstraction. Expand
CVEPS - a compressed video editing and parsing system
TLDR
This work has developed a compressed video editing and parsing system (CVEPS) with advanced video indexing and manipulation functions, and presents a client-server network based CVEPS implementation. Expand
VisualSEEk: a fully automated content-based image query system
TLDR
The VisualSEEk system is novel in that the user forms the queries by diagramming spatial arrangements of color regions by utilizing color information, region sizes and absolute and relative spatial locations. Expand
Video content characterization and compaction for digital library applications
TLDR
This paper develops models to capture and characterize video by temporal events, namely, dialogues, actions and story units, and presents these events using succinct visual summaries that depict and differentiate the underlying dramatic elements in an intuitive manner. Expand
Content based video indexing and retrieval
TLDR
This research addresses four areas of content-based video management, including time codes, image frames, pixels, and frames, which are based on pixels rather than perceived content. Expand
An image database browser that learns from user interaction
TLDR
This dissertation uses machine learning to automatically select and combine features to satisfy a query, based on positive and negative examples from the user, to build in enough exibility to allow adaptation to changing goals. Expand
Morphological moving object segmentation and tracking for content-based video coding
TLDR
This paper presents a compact description about the independent movement of each region or object in a dynamic scene that can be utilized to improve the coding efficiency as well as to provide the foundation for all the new functionalities which are under intensive investigation in the framework of next international standard MPEG4. Expand
...
1
2
3
4
5
...