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Book ChapterDOI

Personalized Summarization of Broadcasted Soccer Videos with Adaptive Fast-Forwarding

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TLDR
This work formulate video summarization as a discrete optimization problem, where the optimal summary is determined by adopting Lagrangian relaxation and convex-hull approximation to solve a resource allocation problem.
Abstract
We propose a hybrid personalized summarization framework that combines adaptive fast-forwarding and content truncation to generate comfortable and compact video summaries. We formulate video summarization as a discrete optimization problem, where the optimal summary is determined by adopting Lagrangian relaxation and convex-hull approximation to solve a resource allocation problem. Subjective experiments are performed to demonstrate the relevance and efficiency of the proposed method.

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Journal ArticleDOI

Survey of Compressed Domain Video Summarization Techniques

TL;DR: A classification and analysis of various summarization techniques are presented with special focus on compressed domain techniques along with a discussion on machine-learning-based techniques that can be applied to summarize the videos.
Proceedings ArticleDOI

The Shape of the Game

TL;DR: This paper proposes a simple but effective visual metaphor to help users browse and get insight into sports matches, with a focus on soccer games, and defines a visual representation that preserves the time-order of the video sequence, highlighting the most important events of a game.
References
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Journal ArticleDOI

Generalized Lagrange Multiplier Method for Solving Problems of Optimum Allocation of Resources

Hugh Everett
- 01 Jun 1963 - 
TL;DR: The use of Lagrange multipliers for optimization in the presence of constraints is not limited to differentiable functions but can be applied to problems of maximizing an arbitrary real valued objective function over any set whatever, subject to bounds on the values of any other finite collection of real valued functions denned on the same set as mentioned in this paper.
Journal ArticleDOI

Automatic soccer video analysis and summarization

TL;DR: The proposed framework includes some novel low-level processing algorithms, such as dominant color region detection, robust shot boundary detection, and shot classification, as well as some higher-level algorithms for goal detection, referee detection,and penalty-box detection.
Proceedings ArticleDOI

Detection of slow-motion replay segments in sports video for highlights generation

TL;DR: A hidden Markov model is used to model slow motion replays, and an inference algorithm is introduced which computes the probability of a slow motion replay segment, and localizes the boundaries of the segment as well.
Journal ArticleDOI

Seeing slow and seeing fast: two limits on perception.

TL;DR: Video cameras have a single temporal limit set by the frame rate, but the human visual system has multiple temporal limits set by its various constituent mechanisms, which seem to form two groups that collaborate to create the unified visual experience.
Proceedings ArticleDOI

Trajectory based event tactics analysis in broadcast sports video

TL;DR: An effective tactic representation called aggregate trajectory is proposed which is constructed based on multiple trajectories using a novel analysis of temporal-spatial interaction among the players and the ball.
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