Tracking news stories across different sources
Proceedings of the 13th annual ACM international conference on Multimedia
Text detection, localization, and tracking in compressed video
Image Communication
Movie scene segmentation using background information
Pattern Recognition
Journal on Image and Video Processing - Color in Image and Video Processing
Automatic scene detection for advanced story retrieval
Expert Systems with Applications: An International Journal
Video scene segmentation and semantic representation using a novel scheme
Multimedia Tools and Applications
Places clustering of full-length film key-framesusing latent aspect modeling over SIFT matches
IEEE Transactions on Circuits and Systems for Video Technology
Scene pathfinder: unsupervised clustering techniques for movie scenes extraction
Multimedia Tools and Applications
Audio-assisted scene segmentation for story browsing
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Graph-based multilevel temporal segmentation of scripted content videos
GbRPR'07 Proceedings of the 6th IAPR-TC-15 international conference on Graph-based representations in pattern recognition
Stability of a class of multimedia systems
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Video scene detection using graph-based representations
Image Communication
A heuristic algorithm for video scene detection using shot cluster sequence analysis
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
An unsupervised approach for recurrent tv program structuring
Proceddings of the 9th international interactive conference on Interactive television
Dominant sets based movie scene detection
Signal Processing
Multimodal data fusion for video scene segmentation
VISUAL'05 Proceedings of the 8th international conference on Visual Information and Information Systems
A method of generating table of contents for educational videos
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II
Effective video scene detection approach based on cinematic rules
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Compressed domain content based retrieval using H.264 DC-pictures
Multimedia Tools and Applications
Concurrent photo sequence organization
Multimedia Tools and Applications
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Automatic video segmentation is the first and necessary step for organizing a long video file into several smaller units. The smallest basic unit is a shot. Relevant shots are typically grouped into a high-level unit called a scene. Each scene is part of a story. Browsing these scenes unfolds the entire story of a film, enabling users to locate their desired video segments quickly and efficiently. Existing scene definitions are rather broad, making it difficult to compare the performance of existing techniques and to develop a better one. This paper introduces a stricter scene definition for narrative films and presents ShotWeave, a novel technique for clustering relevant shots into a scene using the stricter definition. The crux of ShotWeave is its feature extraction and comparison. Visual features are extracted from selected regions of representative frames of shots. These regions capture essential information needed to maintain viewers' thought in the presence of shot breaks. The new feature comparison is developed based on common continuity-editing techniques used in film making. Experiments were performed on full-length films with a wide range of camera motions and a complex composition of shots. The experimental results show that ShotWeave outperforms two recent techniques utilizing global visual features in terms of segmentation accuracy and time.