Smacker video

About: Smacker video is a research topic. Over the lifetime, 5419 publications have been published within this topic receiving 125640 citations. The topic is also known as: .smk.

3D High-Efficiency Video Coding for Multi-View Video and Depth Data

Abstract: This paper describes an extension of the high efficiency video coding (HEVC) standard for coding of multi-view video and depth data. In addition to the known concept of disparity-compensated prediction, inter-view motion parameter, and inter-view residual prediction for coding of the dependent video views are developed and integrated. Furthermore, for depth coding, new intra coding modes, a modified motion compensation and motion vector coding as well as the concept of motion parameter inheritance are part of the HEVC extension. A novel encoder control uses view synthesis optimization, which guarantees that high quality intermediate views can be generated based on the decoded data. The bitstream format supports the extraction of partial bitstreams, so that conventional 2D video, stereo video, and the full multi-view video plus depth format can be decoded from a single bitstream. Objective and subjective results are presented, demonstrating that the proposed approach provides 50% bit rate savings in comparison with HEVC simulcast and 20% in comparison with a straightforward multi-view extension of HEVC without the newly developed coding tools.

Video editing system operator interface for visualization and interactive control of video material

Abstract: An operator interface for a video editing system provides a visual sense of the content of video sequences, as well as their length, while also providing enhanced interactive control of locations and time alignments of the video. As the video sequence is processed into the system, a small but representative sample of each frame is saved in a local memory, while the video itself is stored in mass storage. These samples are used to provide a video pictorial timeline of the underlying stored video. The location of an operator's view into the video sequence is controlled by a cursor's movement along a detailed video pictorial timeline, a reverse motion area and a forward motion area to provide VTR control for location changes on the video tape. The cursor's movement can be controlled by a mouse or a knob. Icons, either static or dynamic, are produced within the motion areas to indicate the amount of selected velocity. Timelines can be marked with time marks, roughly aligned and then automatically fine aligned by the system according to their respective time markers. The editing results associated with these timelines are also time aligned as a result of this process.

Bar code reading terminal with video capturing mode

Abstract: A bar code reading terminal can, in one embodiment, include a two-dimensional image sensor and an imaging assembly. The terminal can be configured, in response to receipt of a trigger signal, to buffer a set of frames and subject each frame of the set of frames to a decode attempt. The terminal can also be configured to convert the convert the captured set of video frames into a compressed video format, and transfer the resulting video file to a file server or to one or more playback devices, in response to a user interface action, or in response to difficult read condition having been detected. The terminal can also be configured to establish two-way video- and audio-communication with a remote video- and audio-streaming device. The video capturing and streaming operation of the terminal can be controlled remotely from a playback device via web interface.

Video parsing, retrieval and browsing: an integrated and content-based solution

Abstract: This paper presents an integrated solution for computer assisted video parsing and content-based video retrieval and browsing. The uniqueness and effectiveness of this solution lies in its use of video content information provided by a parsing process driven by visual feature analysis. More specifically, parsing will temporally segment and abstract a video source, based on low-level image analyses; then retrieval and browsing of video will be based on key-frames selected during abstraction and spatial-temporal variations of visual features, as well as some shot-level semantics derived from camera operation and motion analysis. These processes, as well as video retrieval and browsing tools, are presented in detail as functions of an integrated system. Also, experimental results on automatic key-frame detection are given.