Effective wipe detection in MPEG compressed video using macro block type information

Abstract

For video scene analysis, the wipe transition is considered most complex and difficult to detect. In this paper, an effective wipe detection method is proposed using the macroblock (MB) information of the MPEG compressed video. By analyzing the prediction directions of B frames, which are revealed in the MB types, the scene change region of each frame can be found. Once the accumulation of the scene change regions covers most area of the frame, the sequence will be considered a motionless wipe transition sequence. Besides, uncommon intracoded MBs of the B frame can also be applied as an indicator of the motion wipe transition. A very simple analysis based on small amount of MB type information is sufficient to achieve wipe detection directly on MPEG compressed video. Easy extraction of MB type information, low-complex analysis algorithm and robustness to arbitrary shape and direction of wipe transitions are the great advantages of the proposed method.

Semantic Scene Object-Camera Motion Recognition for Scene Transition Detection Using Dense Spatial Frame Segments and Temporal Trajectory Analysis

“…Therefore, motion activity-based methods were proposed to detect scene transition patterns in several existing methods. Macroblock (MB) type temporal information was used specifically to detect wipe transition patterns in [44]. The primary limitation of this method was sensitivity to the brightness and illumination changes.…”

Wipe Scene Change Detection in Object-Camera Motion Based on Linear Regression and an Inflated Spatial-Motion Neural Network

“…Some studies have proposed macroblock type temporal feature information analysis in the MPEG coded domain to locate wipe scene changes [16] [30]. However, they suffer from a high false alarm rate due to illumination and brightness changes.…”

“…• Wipe transitions carry important low-level semantic information of the context and content of a video to obtain high-level information; hence, their automatic detection is a pivotal step in assisting content-based video analysis [13] [16]. • Wipe transitions are widely used in digital media (news, sports, and movies) to provide audiences with a better content-watching experience [12].…”

“…This transition occurs with a moving border in a shape pattern between the current and next scene. These moving borders consist of arbitrary shapes, directions, and speeds [16]. Most importantly, when arbitrary object-camera motion occurs in the same frame as moving borders, it results in a velocity imbalance between them.…”

“…2. Block motion vector-based [16] and motion However, these methods do not classify motionless and motion wipe transitions in various object-camera motions.…”