Frame Complexity-Based Adaptive Bit Rate Normalization

Confidence-based adaptive frame rate up-conversion

In this article, we propose a new frame rate up-conversion (FRU) method for temporal quality enhancement. The proposed FRU algorithm employs gradual and adaptive motion estimation based on confidence priority for selecting more accurate motion vectors (MVs). In order to estimate accurate MVs, we adaptively alternate a search range and the order of blocks to be searched depending on the confiden...

Frame rate preferences in low bit rate video

A double stimulus subjective evaluation was performed to determine preferred frame rates at a fixed bit rate for low bit rate video. Stimuli consisted of eight reference color video sequences of size 352 × 240 pixels. These were compressed at rates of 100, 200 and 300 kbps for low, medium, and high motion sequences, respectively, using three encoders and frame rates of 10, 15 and 30 frames per ...

Variable Frame Rate for Very Low Bit-Rate Video Coding

Motion description of objects time evolution is often bit-rate wasting even if computed at a low fixed ffame rate. Bit-rate reduction can be achieved taking advantage of the inactivity periods: in such time intervals there is no need for motion coding, as an accurate description of the scene can be obtained only considering the frame diflerence information. We propose to estimate the motion bet...

Least Bit Error Rate Adaptive

Complexity-Aware Frame-Level Bit Allocation and Rate Control for H.264 Scalable Video Coding

This study aimed to investigate efficient bit-allocation and rate-control methods for H.264 scalable video encoders. We first presented a new bit-allocation algorithm at the frame level for H.264 temporal scalability. Additional to the target bit-rate and buffer occupancy, the temporal hierarchical level and visual complexity were considered for determining the bit budget of a frame. This bit-a...