Generic approach to highlights extraction from a sport video
نویسنده
چکیده
We propose in this paper a method for extracting highlights from a sport TV broadcast. Unlike the existing highlights-extracting approaches our method does not require modeling of domainspecific events that are supposed to be interpreted by the user as highlights. Instead, we search for highlights at places where strong excitement is evoked in the user by the content of a video. It is namely realistic to assume that independent of the type of a highlighting event, each such event induces an increase in user’s excitement. We mimic the changes in user’s excitement by observing the temporal behavior of domain-independent audiovisual signal properties and the editing scheme of a video. Relation between these low-level features and the evoked excitement is drawn partly from psycho-physiological research and partly from analyzing the video generation practice. We evaluate our methodology on the excerpts taken from soccer TV broadcasts.
منابع مشابه
Extraction and Classification of Self-consumable Sport Video Highlights Using Generic HMM
This paper aims to automatically extract and classify self-consumable sport video highlights. For this purpose, we will emphasize the benefits of using play-break sequences as the effective inputs for HMMbased classifier. HMM is used to model the stochastic pattern of high-level states during specific sport highlights which correspond to the sequence of generic audio-visual measurements extract...
متن کاملAutomatic extraction and annotation of soccer video highlights
Broadcasters are demonstrating interest in systems that ease the process of annotation the huge amount of live and archived video materials. Exploitation of such assets is considered a key method for the improvement of production quality, and sport videos are one of the most marketable assets. In particular, in Europe, soccer is one of the most relevant sport types. This paper deals with detect...
متن کاملIntegrating Highlights to Play-break Sequences for More Complete Sport Video Summarization
Summarization is an essential requirement to achieve a more compact and interesting representation of sports video contents. To date, most-generic sport video summaries are generated by retaining play segments which can be a particular ball-in-play in soccer, race in swimming, or performance in gymnastics. On the other hand, most-compressed summaries should be generated by domain-specific highl...
متن کاملA Machine Learning Approach to No-Reference Objective Video Quality Assessment for High Definition Resources
The video quality assessment must be adapted to the human visual system, which is why researchers have performed subjective viewing experiments in order to obtain the conditions of encoding of video systems to provide the best quality to the user. The objective of this study is to assess the video quality using image features extraction without using reference video. RMSE values and processing ...
متن کاملAutomatic Sports Highlights Extraction with Content Augmentation
We describe novel methods to automatically augment content into video highlights detected from soccer and tennis video. First, we extract generic and domain-specific features from the video to isolate key audio-visual events that we have empirically found to correlate well with the ground-truth highlights. Next, based on a set of heuristics-driven rules to minimize view disruption, spatial regi...
متن کامل